1 00:00:05,160 --> 00:00:07,720 Speaker 1: Hey, this is Annie and Samantha. I welcome to stephone 2 00:00:07,760 --> 00:00:19,680 Speaker 1: Never told your production of Ihear Radio, and today we 3 00:00:19,760 --> 00:00:21,919 Speaker 1: are back. Happy New Year because this is kind of 4 00:00:21,960 --> 00:00:25,119 Speaker 1: the first full episode we've done in a while, and 5 00:00:25,480 --> 00:00:29,000 Speaker 1: it's kind of short. I'm guessing maybe not um, but 6 00:00:29,080 --> 00:00:32,680 Speaker 1: it's very interesting. Uh yeah, because we are continuing or 7 00:00:32,680 --> 00:00:35,400 Speaker 1: with our looking too technology and women. Apparently this is 8 00:00:35,400 --> 00:00:37,600 Speaker 1: the thing we're doing that we didn't mean to. It 9 00:00:37,680 --> 00:00:40,720 Speaker 1: kind of just happened. Um. And of course we couldn't 10 00:00:40,800 --> 00:00:44,880 Speaker 1: ignore the impact of social media in this conversation, um. 11 00:00:44,960 --> 00:00:47,640 Speaker 1: And in our recent episode with bridget we talked about 12 00:00:47,680 --> 00:00:50,080 Speaker 1: the current state of Twitter and all the things that 13 00:00:50,120 --> 00:00:52,320 Speaker 1: are happening there, which led us to take a closer 14 00:00:52,360 --> 00:00:54,240 Speaker 1: look at the history of hashtags. You know, it's one 15 00:00:54,240 --> 00:00:56,920 Speaker 1: of those like oh where did that come from? Moment 16 00:00:57,280 --> 00:01:00,960 Speaker 1: um and how women have not only been impacted it's used, 17 00:01:01,200 --> 00:01:04,720 Speaker 1: but has actually shaped the effectiveness of hashtags as well. 18 00:01:04,800 --> 00:01:07,119 Speaker 1: So we had to jump into that. But before we do, 19 00:01:07,240 --> 00:01:10,800 Speaker 1: and do you use hashtags or as we know it? Pound? 20 00:01:13,319 --> 00:01:17,559 Speaker 1: You know, one of the like funniest generational divides I've 21 00:01:17,560 --> 00:01:22,280 Speaker 1: ever experienced is that of the what do you call 22 00:01:22,319 --> 00:01:24,280 Speaker 1: it pound or do you call it hashtag? But also 23 00:01:24,400 --> 00:01:27,200 Speaker 1: like you know, when you would go visit Maybe this 24 00:01:27,280 --> 00:01:28,880 Speaker 1: is just me, but you would go to visit an 25 00:01:28,880 --> 00:01:32,440 Speaker 1: apartment building and it'd give you the code and I 26 00:01:32,480 --> 00:01:36,160 Speaker 1: would just disregard the hashtag and just put in the number, 27 00:01:36,720 --> 00:01:39,600 Speaker 1: But you have to put in the hashtag, and I 28 00:01:39,640 --> 00:01:47,319 Speaker 1: would just hound stuck out there. Uh, I do use hashtags. 29 00:01:47,360 --> 00:01:51,280 Speaker 1: I think we're gonna be talking about this more when 30 00:01:51,320 --> 00:01:53,800 Speaker 1: I get to like the fan fiction section of the 31 00:01:53,840 --> 00:01:55,360 Speaker 1: because you know, we have to have a fan fiction 32 00:01:55,440 --> 00:01:57,480 Speaker 1: section of this, of course, because I feel like I 33 00:01:57,560 --> 00:02:01,640 Speaker 1: generally use them in the way that is not I 34 00:02:01,760 --> 00:02:04,720 Speaker 1: use them in the humorous way I guess um which 35 00:02:04,880 --> 00:02:08,880 Speaker 1: they can. They They are very very useful in grouping 36 00:02:09,600 --> 00:02:13,160 Speaker 1: information that is important, and especially around like protesting and 37 00:02:13,240 --> 00:02:16,880 Speaker 1: very big issues. But there is like the fun side 38 00:02:16,880 --> 00:02:18,480 Speaker 1: of them, which I never want to forget because I 39 00:02:18,480 --> 00:02:21,080 Speaker 1: feel like a lot of times, as we rightly should, 40 00:02:21,080 --> 00:02:22,840 Speaker 1: we talk about the more serious matters of this, but 41 00:02:22,880 --> 00:02:25,360 Speaker 1: there are the fun kind of parts of it. And 42 00:02:25,400 --> 00:02:28,560 Speaker 1: I really like coming up with the you know, super 43 00:02:28,919 --> 00:02:35,239 Speaker 1: long ridiculous hashtag or either you know, like the humorous 44 00:02:35,360 --> 00:02:38,360 Speaker 1: one where all you know, hashtag nailed it and definitely 45 00:02:38,360 --> 00:02:41,560 Speaker 1: did not nail it. So I do, but I usually 46 00:02:41,680 --> 00:02:44,720 Speaker 1: use them in a less serious way. I guess if 47 00:02:44,720 --> 00:02:49,400 Speaker 1: that makes sense. Yeah, you know, coming on to Sminthy 48 00:02:49,560 --> 00:02:52,359 Speaker 1: the show and I took over the social media, I 49 00:02:52,400 --> 00:02:53,919 Speaker 1: was like, I can do this, which I found out 50 00:02:53,960 --> 00:02:57,160 Speaker 1: I can't. Um. I tried to study and look into 51 00:02:57,600 --> 00:03:00,080 Speaker 1: what is effective and what isn't because you know, at 52 00:03:00,080 --> 00:03:01,920 Speaker 1: that point in time, we thought social media would be 53 00:03:01,919 --> 00:03:04,800 Speaker 1: a big part of podcasting and not that it's not, 54 00:03:05,160 --> 00:03:07,760 Speaker 1: but for us, uh, it hasn't been as a big 55 00:03:07,919 --> 00:03:09,720 Speaker 1: our marketing people are like, don't worry about it type 56 00:03:09,720 --> 00:03:11,639 Speaker 1: of thing. But I was really into its, like I want, 57 00:03:11,639 --> 00:03:13,160 Speaker 1: I want to make this, I want to cultivate it 58 00:03:13,240 --> 00:03:16,080 Speaker 1: whatever whatnot. Because the host before me, uh, you didn't 59 00:03:16,120 --> 00:03:17,840 Speaker 1: take care of social media. I think Bridget did right. 60 00:03:18,800 --> 00:03:21,480 Speaker 1: They were powerhouses and I still don't quite get them. 61 00:03:21,800 --> 00:03:23,760 Speaker 1: But I one of the things I looked up is 62 00:03:23,919 --> 00:03:26,760 Speaker 1: how to use hashtags, which we're gonna talk a little 63 00:03:26,760 --> 00:03:30,520 Speaker 1: bit about. Not really we're gonna mention again about being used. Uh. 64 00:03:30,560 --> 00:03:32,760 Speaker 1: So I try to be more serious with it and 65 00:03:32,760 --> 00:03:36,120 Speaker 1: try to find all the hashtags I had. Uh kind 66 00:03:36,160 --> 00:03:40,120 Speaker 1: of a nonprofit project that I did about women, uh 67 00:03:40,320 --> 00:03:43,360 Speaker 1: domestic violence survivors and telling their stories, and I used 68 00:03:43,400 --> 00:03:46,160 Speaker 1: that as well to group the stories, and I used 69 00:03:46,160 --> 00:03:50,240 Speaker 1: it for um WordPress, which is not exactly the same thing. 70 00:03:50,680 --> 00:03:53,800 Speaker 1: So we're gonna talk about that as well. But you know, 71 00:03:53,880 --> 00:03:56,560 Speaker 1: realizing that this is how you reach out now that 72 00:03:56,720 --> 00:03:59,680 Speaker 1: it just doesn't happen just because and it's almost harder 73 00:04:00,280 --> 00:04:02,600 Speaker 1: when you don't use it, so you have to be 74 00:04:02,720 --> 00:04:05,760 Speaker 1: very purposeful. So I did use it that way as 75 00:04:05,760 --> 00:04:07,920 Speaker 1: a person on my own. Yeah, I do silly things 76 00:04:07,960 --> 00:04:11,720 Speaker 1: as well. Um, I will write full sentences as well 77 00:04:11,760 --> 00:04:14,040 Speaker 1: because I'm like, oh, this is ridiculous. But also I 78 00:04:14,080 --> 00:04:16,400 Speaker 1: do have a hashtag for peachmouth puzzins. No one needs 79 00:04:16,400 --> 00:04:19,360 Speaker 1: it about me. Oh I'll get in there, Okay, good 80 00:04:19,360 --> 00:04:23,320 Speaker 1: in there. I use that one often, just like because 81 00:04:23,360 --> 00:04:30,480 Speaker 1: all of my I will guarantee guarantee. So if you 82 00:04:30,520 --> 00:04:32,400 Speaker 1: all want to see pictures of my dog outside of 83 00:04:32,440 --> 00:04:38,400 Speaker 1: following me hashtag peaches mcfuzzin, you're welcome. Perfect. You know what. 84 00:04:38,520 --> 00:04:41,240 Speaker 1: That would be interesting too if we looked at the trends, 85 00:04:41,279 --> 00:04:44,120 Speaker 1: because of course, a part of the search that you 86 00:04:44,200 --> 00:04:47,000 Speaker 1: can do to kind of widen the scope outside of 87 00:04:47,040 --> 00:04:50,400 Speaker 1: just the people you follow or follow you or now 88 00:04:50,440 --> 00:04:52,440 Speaker 1: all the retweets and the likes that come our way. 89 00:04:52,480 --> 00:04:54,880 Speaker 1: And I hate that, by the way, where that you 90 00:04:54,920 --> 00:04:56,560 Speaker 1: just see other people's likes. I'm like, why do I 91 00:04:56,600 --> 00:05:00,240 Speaker 1: have to see this anyway? Um, But some of the 92 00:05:00,240 --> 00:05:04,160 Speaker 1: things that are trending for me, specifically as Speaker of 93 00:05:04,200 --> 00:05:10,200 Speaker 1: the House vote, which yes today is January, there is 94 00:05:10,240 --> 00:05:13,320 Speaker 1: a mess right now with the situation, so I do 95 00:05:13,400 --> 00:05:18,240 Speaker 1: find it interesting. Another hashtag is hashtag national Birthday. I 96 00:05:18,279 --> 00:05:22,720 Speaker 1: did not know. Did you know? No? Okay, well now 97 00:05:22,800 --> 00:05:26,800 Speaker 1: you do. Another trend is hashtag House of Representatives. Of course, 98 00:05:26,800 --> 00:05:28,720 Speaker 1: and this is on Twitter, because we are going to 99 00:05:29,120 --> 00:05:31,840 Speaker 1: largely talk about Twitter, especially at the beginning, because this 100 00:05:31,960 --> 00:05:35,359 Speaker 1: is kind of where it began, specifically the hashtag not tags. 101 00:05:35,760 --> 00:05:38,640 Speaker 1: We'll get into that once again. Yeah, so for Twitter, 102 00:05:39,240 --> 00:05:43,039 Speaker 1: what's trending for you? So, so I just had an 103 00:05:43,040 --> 00:05:45,719 Speaker 1: interesting time. I haven't used Twitter on my phone and 104 00:05:45,720 --> 00:05:47,560 Speaker 1: forever I use it on my I'm the only person 105 00:05:47,600 --> 00:05:52,720 Speaker 1: who uses a laptop. I feel like right now it's 106 00:05:52,800 --> 00:05:59,040 Speaker 1: Prince Harry, Oh, Speaker of the House vote, Republicans and Ruin. 107 00:06:00,960 --> 00:06:04,000 Speaker 1: I'm surprised. So usually there's something Star Wars related that 108 00:06:04,120 --> 00:06:06,920 Speaker 1: is not like trending at all, But because I'm Star 109 00:06:06,920 --> 00:06:13,000 Speaker 1: Wars versus, it's always up there. I like it. Yeah, well, 110 00:06:13,279 --> 00:06:16,560 Speaker 1: you know, maybe because there's no shows right now. Well, 111 00:06:16,640 --> 00:06:20,680 Speaker 1: yesterday Ezra was trending. I saw that, and I was 112 00:06:20,720 --> 00:06:23,760 Speaker 1: nervous about it. Darth Vader is usually trending for me, 113 00:06:23,800 --> 00:06:26,640 Speaker 1: and I can't quite figure out why. But I mean 114 00:06:26,680 --> 00:06:28,800 Speaker 1: I can, but I'm also kind of like this, meaning 115 00:06:28,880 --> 00:06:32,080 Speaker 1: people just streating about Darth Vader all the time. Probably, 116 00:06:33,520 --> 00:06:35,520 Speaker 1: I guess it was pretty similar, except for I don't 117 00:06:35,560 --> 00:06:41,480 Speaker 1: have any prince hare, even though I've seen all the stuff. Ah, monarchies, 118 00:06:42,160 --> 00:06:46,560 Speaker 1: let's just abolish them. Come on, uh JK. So we 119 00:06:46,640 --> 00:06:49,720 Speaker 1: know of hashtags. We're getting there. I still like when 120 00:06:49,720 --> 00:06:52,800 Speaker 1: you were talking about hashtag the door code, it really 121 00:06:52,800 --> 00:06:55,279 Speaker 1: bothered me because I was like, it's pound, it's pound, whatever, 122 00:06:55,360 --> 00:06:57,000 Speaker 1: What are you talking about? If you tell someone a 123 00:06:57,040 --> 00:07:02,159 Speaker 1: code it's pound, how dare you? But yes, because it's 124 00:07:02,160 --> 00:07:04,440 Speaker 1: been around, we haven't really talked about it too much. 125 00:07:04,440 --> 00:07:06,039 Speaker 1: But we do want to take that deep dive and 126 00:07:06,080 --> 00:07:08,839 Speaker 1: look at the history. So before we start, we're going 127 00:07:08,880 --> 00:07:11,280 Speaker 1: to look back at the beginning. Of the hashtag and 128 00:07:11,360 --> 00:07:14,640 Speaker 1: when you look at the origin of hashtag or again 129 00:07:15,080 --> 00:07:18,480 Speaker 1: pound as it was known to me. Uh. Most talk 130 00:07:18,560 --> 00:07:21,200 Speaker 1: about the moment in two thousands seven when Chris Messina, 131 00:07:21,440 --> 00:07:23,560 Speaker 1: who was at Twitter at the time, sent out a 132 00:07:23,560 --> 00:07:28,000 Speaker 1: tweet asking how likely people would use hashtags for their tweets. 133 00:07:28,440 --> 00:07:30,720 Speaker 1: And by the way, apparently the Twitter founders were not 134 00:07:30,920 --> 00:07:34,960 Speaker 1: fans of either of these terms hashtags or tweets, so 135 00:07:35,000 --> 00:07:38,160 Speaker 1: that didn't happen until two thousand nine, and they allowed that, like, yeah, 136 00:07:38,240 --> 00:07:42,800 Speaker 1: it's officially that that's fine whatever. Um. And it was 137 00:07:42,880 --> 00:07:45,920 Speaker 1: during around the same time a snow BOYD, a blogger, 138 00:07:46,000 --> 00:07:49,560 Speaker 1: was using something similar on his own blog post um 139 00:07:49,600 --> 00:07:52,360 Speaker 1: and later stated quote in yes, y'all, I did deep 140 00:07:52,400 --> 00:07:56,040 Speaker 1: dive on their blogs from way back when. It's also 141 00:07:56,120 --> 00:07:58,720 Speaker 1: worth noting that Messina and I were involved at the 142 00:07:58,760 --> 00:08:01,560 Speaker 1: time in a Twitter and blog based discussion about a 143 00:08:01,600 --> 00:08:05,960 Speaker 1: membership in group versus what I call groupings UM. In 144 00:08:06,000 --> 00:08:08,680 Speaker 1: a post at the time seen A specifically referenced my 145 00:08:08,760 --> 00:08:12,120 Speaker 1: writings on groupings. A grouping is a collection of people 146 00:08:12,440 --> 00:08:15,000 Speaker 1: that share attributes in common, like the use of a 147 00:08:15,040 --> 00:08:18,240 Speaker 1: certain tag on their blog posts or frequent a certain 148 00:08:18,280 --> 00:08:22,120 Speaker 1: bar or a study such as martial arts UM and 149 00:08:22,160 --> 00:08:26,600 Speaker 1: he went on saying, my argument then see hashtags equal 150 00:08:26,680 --> 00:08:29,920 Speaker 1: Twitter groupings was that tags and Twitter would wind up 151 00:08:29,920 --> 00:08:32,680 Speaker 1: being used in the same way and indication of the 152 00:08:32,760 --> 00:08:35,920 Speaker 1: nature of the contents of the tweet, but an aggregate 153 00:08:36,280 --> 00:08:40,439 Speaker 1: everyone that uses the hashtags ted x are a grouping, 154 00:08:40,640 --> 00:08:45,040 Speaker 1: and that self selected identification could be an important cultural marker. 155 00:08:45,400 --> 00:08:48,840 Speaker 1: And that's pretty much what happened. Yeah, And Christmas Ina 156 00:08:48,960 --> 00:08:51,840 Speaker 1: himself talked about wanting to explore options like tags used 157 00:08:51,840 --> 00:08:55,720 Speaker 1: in blogs and point to sites like Jaku, which was similar. 158 00:08:56,120 --> 00:08:58,640 Speaker 1: Um it was a similar social media site like Twitter, 159 00:08:59,080 --> 00:09:01,400 Speaker 1: um and it was creating the same time and Flicker, 160 00:09:01,800 --> 00:09:05,200 Speaker 1: which still uses tags to show trends and topics um. And. 161 00:09:05,240 --> 00:09:08,760 Speaker 1: In fact, Messina took the tag San Diego fire as 162 00:09:08,760 --> 00:09:11,360 Speaker 1: a tester, which was a way for bloggers to inform 163 00:09:11,440 --> 00:09:14,560 Speaker 1: the public of the ongoing wildfires at the time, and 164 00:09:14,600 --> 00:09:17,280 Speaker 1: in his blog, Messina states, I'm more interested in simply 165 00:09:17,320 --> 00:09:20,880 Speaker 1: having a better eavesdropping experience on Twitter. To that end, 166 00:09:20,920 --> 00:09:25,679 Speaker 1: I focused my thinking on contextualization, content filtering, and exploratory 167 00:09:25,800 --> 00:09:35,400 Speaker 1: serendipity within the Twitter or sphere. Twitter sphere. I love this, Like, Yeah, 168 00:09:35,520 --> 00:09:39,640 Speaker 1: so then go, oh yeah, all right, that continued, it 169 00:09:39,640 --> 00:09:42,440 Speaker 1: occurred to me that I R c R Internet Relay 170 00:09:42,520 --> 00:09:45,600 Speaker 1: Chat presents a proven model for these needs with its 171 00:09:45,640 --> 00:09:49,160 Speaker 1: foundation on channels, and so that's what I'm generally going 172 00:09:49,200 --> 00:09:53,480 Speaker 1: to call them now, and thinking about implementing channels, it 173 00:09:53,559 --> 00:09:56,760 Speaker 1: was imperative that I not introduced any significant changes into 174 00:09:56,760 --> 00:09:59,160 Speaker 1: the way that I currently use Twitter, any more than 175 00:09:59,160 --> 00:10:01,079 Speaker 1: I have for any other features that have been added 176 00:10:01,120 --> 00:10:05,560 Speaker 1: to Twitter, for example at replies or direct messages. Channels 177 00:10:05,600 --> 00:10:09,160 Speaker 1: would need to be a command line friendly addition, and 178 00:10:09,240 --> 00:10:12,840 Speaker 1: one that would require absolutely zero web based management to 179 00:10:12,920 --> 00:10:15,640 Speaker 1: make the most of it. And that's what he did. 180 00:10:16,040 --> 00:10:18,280 Speaker 1: And it was again in two thousand nine that Twitter 181 00:10:18,320 --> 00:10:21,559 Speaker 1: officially adopted this new way of communicating, which would expand 182 00:10:21,600 --> 00:10:25,520 Speaker 1: on to other social media platforms. Um and for more 183 00:10:25,640 --> 00:10:28,640 Speaker 1: clear definition of its intention, quote, the purpose of the 184 00:10:28,679 --> 00:10:32,040 Speaker 1: invention was to create a meta tag that allowed users 185 00:10:32,200 --> 00:10:35,360 Speaker 1: to track dynamic content in relation to a particular event 186 00:10:35,480 --> 00:10:39,679 Speaker 1: or topic. So, because we've said this a few times 187 00:10:39,760 --> 00:10:41,440 Speaker 1: and because we're going to go into it, we did 188 00:10:41,559 --> 00:10:45,920 Speaker 1: want to talk about the differences between tags and hashtags. 189 00:10:45,960 --> 00:10:48,640 Speaker 1: So again we mentioned earlier tags have been around and 190 00:10:49,040 --> 00:10:51,760 Speaker 1: was a part of the inspiration to hashtags, and if 191 00:10:51,760 --> 00:10:53,920 Speaker 1: you look at Flicker today, the tags are still in 192 00:10:54,120 --> 00:10:59,000 Speaker 1: use and helps categorize and even advertise an individual post 193 00:10:59,120 --> 00:11:01,800 Speaker 1: or picture. I mean I remember using it on my 194 00:11:01,920 --> 00:11:05,840 Speaker 1: Zanga post. Yeah, I did. Um and honestly just collected 195 00:11:05,840 --> 00:11:07,400 Speaker 1: from me. I was like, oh, yeah, that's what those are. 196 00:11:07,960 --> 00:11:09,880 Speaker 1: This would be and this would be around like two 197 00:11:09,880 --> 00:11:13,720 Speaker 1: thousand thousand one, y'all. Yeah. Yeah, And they still use 198 00:11:13,800 --> 00:11:17,240 Speaker 1: them on things like Tumbler, and we use them when 199 00:11:17,240 --> 00:11:19,920 Speaker 1: we write our metadata, right, we have to write out 200 00:11:20,000 --> 00:11:22,600 Speaker 1: keywords and that's for searchability. So it's not quite this. 201 00:11:22,760 --> 00:11:24,760 Speaker 1: Well it's very similar, but it's not quite the same, 202 00:11:24,800 --> 00:11:26,240 Speaker 1: but we have to write out like you know, this 203 00:11:26,360 --> 00:11:28,800 Speaker 1: episode is about hashtags, and it has this, and this 204 00:11:28,920 --> 00:11:44,360 Speaker 1: will and this for every episode. And we have in 205 00:11:44,440 --> 00:11:47,600 Speaker 1: earlier episodes, of course, talked about the power of tags 206 00:11:48,760 --> 00:11:52,440 Speaker 1: in fan fiction, like with a oh three archive of 207 00:11:52,440 --> 00:11:55,440 Speaker 1: our own, which is like one of the biggest names 208 00:11:55,440 --> 00:11:59,640 Speaker 1: in fan fiction. Um, more to come about it. Oh 209 00:11:59,679 --> 00:12:04,280 Speaker 1: my god, I'm so excited. Uh, but yeah, we talked 210 00:12:04,280 --> 00:12:06,120 Speaker 1: about in our episode. It was called it was a 211 00:12:06,120 --> 00:12:08,720 Speaker 1: Monday Mini called a love letter to fan fiction, but 212 00:12:08,760 --> 00:12:10,760 Speaker 1: it was mostly about A three where that was the 213 00:12:10,880 --> 00:12:17,280 Speaker 1: big thing that differentiated AO three was the tags. Um, 214 00:12:17,440 --> 00:12:22,120 Speaker 1: so you could search for very very niche things and 215 00:12:22,280 --> 00:12:24,640 Speaker 1: as someone who's like posting on A three for the 216 00:12:24,679 --> 00:12:27,120 Speaker 1: first time, like it'll show you if it exists, you 217 00:12:27,160 --> 00:12:29,680 Speaker 1: can create one if it doesn't exist. People do like 218 00:12:29,760 --> 00:12:31,000 Speaker 1: to have a lot of fun with them, as I 219 00:12:31,000 --> 00:12:34,400 Speaker 1: said in that episode, especially like the no Beta we 220 00:12:34,520 --> 00:12:38,400 Speaker 1: die like younglings, very sad, but not like the beta 221 00:12:38,880 --> 00:12:42,080 Speaker 1: who is your editor? Um, And they're they're funny, they're 222 00:12:42,120 --> 00:12:45,720 Speaker 1: like one of my very favorite parts of that experience 223 00:12:45,840 --> 00:12:48,719 Speaker 1: is just reading the creative tags that people come up with, 224 00:12:48,760 --> 00:12:54,840 Speaker 1: and it's a really great way of getting a sense 225 00:12:55,160 --> 00:12:58,959 Speaker 1: of something without reading it beyond the summary, because it's 226 00:12:59,000 --> 00:13:02,640 Speaker 1: like some can only tell you so much without spoiling everything, 227 00:13:02,640 --> 00:13:05,600 Speaker 1: but the tags can give you a real idea of 228 00:13:05,640 --> 00:13:07,520 Speaker 1: like what you're getting into, and they can warn you 229 00:13:07,559 --> 00:13:09,400 Speaker 1: if it's going to have something that might upset you. 230 00:13:09,440 --> 00:13:12,920 Speaker 1: Like they're just a really effective way of being entertaining 231 00:13:12,920 --> 00:13:15,679 Speaker 1: but also conveying a lot of information and you can 232 00:13:15,720 --> 00:13:20,440 Speaker 1: search for something incredibly specific with them, right. Um. I 233 00:13:20,480 --> 00:13:23,000 Speaker 1: did read as we were researching this on one of 234 00:13:23,040 --> 00:13:25,880 Speaker 1: the Reddit posts about fan fiction, but there was kind 235 00:13:25,880 --> 00:13:28,679 Speaker 1: of a moment of like people being really upset for uh, 236 00:13:30,240 --> 00:13:33,400 Speaker 1: people adding the tags when it wasn't really there and 237 00:13:33,520 --> 00:13:37,760 Speaker 1: or harassing people through those tags. Yeah, well so there 238 00:13:37,880 --> 00:13:41,679 Speaker 1: is a it's complicated to explain, but essentially like if 239 00:13:41,679 --> 00:13:45,120 Speaker 1: you don't want to spoil people, you can archive your tags, 240 00:13:45,280 --> 00:13:47,959 Speaker 1: or you can like basically the tax would change via 241 00:13:48,040 --> 00:13:52,040 Speaker 1: chapter as opposed to you know, the whole story. This 242 00:13:52,080 --> 00:13:55,760 Speaker 1: makes probably no sense if you're never had this, had 243 00:13:55,800 --> 00:13:58,680 Speaker 1: this experience, but essentially like you can archive. You're like 244 00:13:59,320 --> 00:14:02,720 Speaker 1: authors Show was into archive warnings, but still that usually 245 00:14:02,720 --> 00:14:04,480 Speaker 1: means that that they just don't want you to know 246 00:14:04,520 --> 00:14:06,439 Speaker 1: there's going to be a major character death or whatever, 247 00:14:07,280 --> 00:14:11,400 Speaker 1: and they'll tell you in the chapter that it happens, like, hey, 248 00:14:12,120 --> 00:14:15,720 Speaker 1: this is really not your thing. Um, I personally haven't 249 00:14:15,720 --> 00:14:19,160 Speaker 1: had experience with harassing people through tags. I've definitely seen 250 00:14:19,200 --> 00:14:21,200 Speaker 1: tags where I'm like, oh, we would not get along. 251 00:14:25,040 --> 00:14:28,080 Speaker 1: But I do have a very like like I've said, 252 00:14:28,080 --> 00:14:33,240 Speaker 1: I feel like I've found a very niche, generally safe 253 00:14:33,320 --> 00:14:39,040 Speaker 1: community in my Star Wars area. I definitely believe I 254 00:14:39,080 --> 00:14:41,720 Speaker 1: can see it for sure. I can see it for sure, 255 00:14:41,760 --> 00:14:43,520 Speaker 1: and there are things that are definitely like done in 256 00:14:43,560 --> 00:14:45,880 Speaker 1: poor taste of like making fun of a character death 257 00:14:45,960 --> 00:14:48,240 Speaker 1: and you know, not everybody's super happy that the character 258 00:14:48,360 --> 00:14:53,880 Speaker 1: died or something. Um, but yeah, it's in my experience 259 00:14:53,920 --> 00:14:57,240 Speaker 1: has been mostly delightful. Um. And people will tell you 260 00:14:57,280 --> 00:14:59,000 Speaker 1: if they're like, you shouldn't have that tag, you should 261 00:14:59,040 --> 00:15:02,760 Speaker 1: take it down. That's awesome my experience, probably not everyone's. 262 00:15:02,760 --> 00:15:05,000 Speaker 1: But which is interesting because that is very specific in 263 00:15:05,040 --> 00:15:08,080 Speaker 1: that you can request that. That's kind of rare, especially 264 00:15:08,080 --> 00:15:09,440 Speaker 1: with the hashtags, because you just kind of be there, 265 00:15:09,440 --> 00:15:12,200 Speaker 1: ignore it and move on or something like that. But 266 00:15:12,400 --> 00:15:14,680 Speaker 1: it's necessary for you to dive into a thing. So 267 00:15:14,760 --> 00:15:19,400 Speaker 1: that's that's interesting. Mm hmmm. Um. Yeah, I can talk 268 00:15:19,440 --> 00:15:22,520 Speaker 1: about it forever, but we need to talk about more 269 00:15:22,680 --> 00:15:26,640 Speaker 1: hashtag stuff. The widespread use of tags and hashtags have 270 00:15:26,880 --> 00:15:30,160 Speaker 1: been adopted by most social media platforms, even though Twitter 271 00:15:30,200 --> 00:15:34,600 Speaker 1: initially received backlash at its beginning, Messina said, quote in 272 00:15:34,640 --> 00:15:37,680 Speaker 1: the beginning, people really hated them. People didn't understand why 273 00:15:37,720 --> 00:15:40,480 Speaker 1: we needed hashtags, and the biggest complaint was that people 274 00:15:40,600 --> 00:15:43,800 Speaker 1: just didn't like how they looked. It is interesting because 275 00:15:43,840 --> 00:15:45,480 Speaker 1: it is highlighted so you're able to click on it. 276 00:15:45,520 --> 00:15:47,000 Speaker 1: And it'll take you to kind of kind of a 277 00:15:47,040 --> 00:15:50,880 Speaker 1: page of other posts that has that tag. Um. Again, 278 00:15:50,880 --> 00:15:53,120 Speaker 1: I didn't met I was one of those people. I 279 00:15:53,200 --> 00:15:55,360 Speaker 1: even mocked the usage of them by making them the 280 00:15:55,400 --> 00:15:58,440 Speaker 1: most ridiculous tag, because I like, what is this, oh hashtag? 281 00:15:58,720 --> 00:16:02,160 Speaker 1: And the fact that is about a vernacular literally people 282 00:16:02,160 --> 00:16:05,440 Speaker 1: say hashtags something. Of course, usually it's tongue in cheek, 283 00:16:05,560 --> 00:16:08,600 Speaker 1: but I've definitely seen people seriously saying it um and 284 00:16:08,640 --> 00:16:13,000 Speaker 1: it's become a part of our vocabulary, which is very interesting. Yeah, 285 00:16:13,040 --> 00:16:15,120 Speaker 1: and I think that was part of the backlashes when 286 00:16:15,320 --> 00:16:21,000 Speaker 1: especially like in my in my realm, like health mostly 287 00:16:21,040 --> 00:16:24,920 Speaker 1: women health creators or being like hashtag blust or whatever, 288 00:16:25,440 --> 00:16:31,120 Speaker 1: that became a real joke and it's been then we 289 00:16:31,160 --> 00:16:33,400 Speaker 1: did an episode, well Pass hosted an episode on it, 290 00:16:33,400 --> 00:16:35,520 Speaker 1: so you can check that off you want to. But yeah, 291 00:16:35,520 --> 00:16:39,920 Speaker 1: that didn't change the trajectory of how important this initiative 292 00:16:40,040 --> 00:16:44,640 Speaker 1: would be for our social media today. Right, So let's 293 00:16:44,680 --> 00:16:47,640 Speaker 1: talk about what's happening today as hashtags took off and 294 00:16:47,800 --> 00:16:51,200 Speaker 1: is now used for a variety of reasons, including becoming 295 00:16:51,200 --> 00:16:53,840 Speaker 1: an influencer, which we've talked about a lot. If you 296 00:16:53,880 --> 00:16:56,560 Speaker 1: look at hashtags today, and of course we did. There 297 00:16:56,600 --> 00:16:59,440 Speaker 1: are articles after articles on how to use hashtags to 298 00:16:59,440 --> 00:17:01,920 Speaker 1: build up your following and your brand. Like I said, 299 00:17:02,200 --> 00:17:05,680 Speaker 1: I looked blows up myself when I initially started with 300 00:17:05,800 --> 00:17:10,040 Speaker 1: sminty Um. Social media coordinators often use current trends to 301 00:17:10,080 --> 00:17:12,680 Speaker 1: promote a brand or a person in order to gain 302 00:17:12,760 --> 00:17:17,760 Speaker 1: more followers and more viewers. And this equals money um obviously, 303 00:17:17,960 --> 00:17:21,439 Speaker 1: and or brand deals or all those things. Many articles 304 00:17:21,480 --> 00:17:24,639 Speaker 1: online today how to how to with the power of 305 00:17:24,720 --> 00:17:28,320 Speaker 1: the hashtag. One article written for entrepreneurs a say of hashtag, 306 00:17:28,560 --> 00:17:32,639 Speaker 1: the hashtag, that ubiquitous pound sign followed by keyword are 307 00:17:32,720 --> 00:17:35,359 Speaker 1: part of the language of social media. Who better to 308 00:17:35,520 --> 00:17:40,440 Speaker 1: use these hashtags than entrepreneurs? Right? Uh? And then they 309 00:17:40,480 --> 00:17:44,720 Speaker 1: say hashtags are simple, honest and explosive way to increase 310 00:17:44,800 --> 00:17:49,040 Speaker 1: your engagement as an entrepreneur. Yeah, and I will say, 311 00:17:49,119 --> 00:17:52,400 Speaker 1: we recently discussed the cold emails. We get a lot 312 00:17:53,880 --> 00:17:56,520 Speaker 1: at the sminty email address, and a lot of them 313 00:17:56,520 --> 00:18:00,240 Speaker 1: are we can maximize your social media presence. We can 314 00:18:00,280 --> 00:18:05,360 Speaker 1: work gear hashtags, which I find very fascinating. Um and 315 00:18:05,600 --> 00:18:08,520 Speaker 1: users for hashtags have already been adapted for newer social 316 00:18:08,560 --> 00:18:12,480 Speaker 1: media like TikTok um TikTok takes the usage of hashtags 317 00:18:12,520 --> 00:18:14,480 Speaker 1: a step further by using it as part of an 318 00:18:14,480 --> 00:18:18,639 Speaker 1: individual's algorithm with hashtags like f y P or the 319 00:18:18,680 --> 00:18:22,560 Speaker 1: for you page, and also helping to create specific subcultures 320 00:18:22,640 --> 00:18:26,120 Speaker 1: within its system. Some of the popular subcultures include hashtag 321 00:18:26,280 --> 00:18:31,880 Speaker 1: cottage core, hashtag moms of TikTok, and hashtag thiktok, which 322 00:18:31,920 --> 00:18:35,560 Speaker 1: often are geared more towards women or female identifying users. 323 00:18:36,440 --> 00:18:40,000 Speaker 1: Hashtags are so widely used on TikTok TikTok business sites 324 00:18:40,160 --> 00:18:42,560 Speaker 1: use it as a way of advertising to creators to 325 00:18:42,600 --> 00:18:46,720 Speaker 1: hop on the trend. For example, in August, they tweeted 326 00:18:46,880 --> 00:18:50,440 Speaker 1: the number of hashtag views such as hashtag small business 327 00:18:50,480 --> 00:18:53,720 Speaker 1: to encourage small business to join TikTok and to use 328 00:18:53,720 --> 00:18:56,359 Speaker 1: the platform to grow their businesses. And just in case 329 00:18:56,400 --> 00:18:59,760 Speaker 1: you were wondering, hashtag small business had thirty three point 330 00:18:59,800 --> 00:19:04,040 Speaker 1: eight billion views at the time. Huge um. But one 331 00:19:04,080 --> 00:19:07,040 Speaker 1: of the uses of hashtags that had had us thinking 332 00:19:07,160 --> 00:19:10,360 Speaker 1: about the origins of hashtags happened to be the usage 333 00:19:10,480 --> 00:19:14,920 Speaker 1: of hashtag activism. Currently on social media platforms, the hashtag 334 00:19:15,119 --> 00:19:18,480 Speaker 1: say their names to save their Lives has been circulating 335 00:19:18,520 --> 00:19:22,639 Speaker 1: to publicly discuss the revolution occurring in Iran um and 336 00:19:22,640 --> 00:19:25,040 Speaker 1: the many people who have been kidnapped and detained due 337 00:19:25,080 --> 00:19:28,359 Speaker 1: to their protesting or supporting the protests occurring there now. 338 00:19:28,680 --> 00:19:31,800 Speaker 1: And just a reminder, as far as I believe still, 339 00:19:32,119 --> 00:19:36,080 Speaker 1: Iran has cut off internet access for those uh in Iran, 340 00:19:36,520 --> 00:19:39,119 Speaker 1: so many of the activists are outside of Iran trying 341 00:19:39,160 --> 00:19:41,320 Speaker 1: to relay what is happening so that we are in 342 00:19:41,400 --> 00:19:44,360 Speaker 1: the know. And hashtag activism has been around for over 343 00:19:44,400 --> 00:19:47,919 Speaker 1: a decade now, if not longer, and even has its 344 00:19:47,920 --> 00:19:52,119 Speaker 1: own Wikipedia page, and according to the Wikipedia page, hashtag 345 00:19:52,160 --> 00:19:56,040 Speaker 1: activism quote refers to the use of Twitter's hashtag for 346 00:19:56,160 --> 00:19:59,440 Speaker 1: Internet activism. The hashtag has become one of the many 347 00:19:59,440 --> 00:20:03,360 Speaker 1: ways the social media contributes to civic engagement and social movements. 348 00:20:03,640 --> 00:20:06,440 Speaker 1: The use of hashtag on social media provides users with 349 00:20:06,600 --> 00:20:10,760 Speaker 1: an opportunity to share information and opinions about social issues 350 00:20:10,960 --> 00:20:14,320 Speaker 1: in a way that others followers can interact and engage 351 00:20:14,359 --> 00:20:17,359 Speaker 1: as part of a larger conversation with a potential to 352 00:20:17,440 --> 00:20:21,200 Speaker 1: create change, and it has done that. Some of the 353 00:20:21,240 --> 00:20:24,840 Speaker 1: biggest hashtags used for activism was at the hands of women, 354 00:20:24,920 --> 00:20:29,120 Speaker 1: more specifically women of color. The conversation of hashtag activism 355 00:20:29,240 --> 00:20:32,119 Speaker 1: is such a large topic and social justice movement books 356 00:20:32,119 --> 00:20:35,760 Speaker 1: have been written in studying this specific subject, including one 357 00:20:35,760 --> 00:20:39,360 Speaker 1: written by Sarah Jackson, Moya Bailey, and Brooke fuco Oils 358 00:20:39,520 --> 00:20:43,360 Speaker 1: titled Hashtag Activism Networks of Race and Gender Justice, which 359 00:20:43,359 --> 00:20:46,440 Speaker 1: was published in which we do want to talk about 360 00:20:46,520 --> 00:20:49,200 Speaker 1: throughout the rest of the episode. Here's a description from 361 00:20:49,359 --> 00:20:52,159 Speaker 1: m I T Press dot m I T dot Edu. 362 00:20:52,320 --> 00:20:54,560 Speaker 1: In this book, they explore how and why Twitter has 363 00:20:54,600 --> 00:20:59,600 Speaker 1: become an important platform for historically disenfranchised populations, including Black Americans, women, 364 00:20:59,680 --> 00:21:03,320 Speaker 1: and transgender people. They show how marginalized groups, along excluded 365 00:21:03,359 --> 00:21:07,280 Speaker 1: from elite media spaces, have used Twitter hashtags to advance 366 00:21:07,400 --> 00:21:12,200 Speaker 1: counter narratives, preempt political spin, and build diverse networks of descent. 367 00:21:12,760 --> 00:21:15,080 Speaker 1: Throughout the book, the authors speak of the impact of 368 00:21:15,160 --> 00:21:18,359 Speaker 1: hashtags throughout the current movements that have affected throughout the 369 00:21:18,440 --> 00:21:20,359 Speaker 1: U s um and in the book they define the 370 00:21:20,480 --> 00:21:24,320 Speaker 1: usage of hashtag and its uses. They write quote hashtags, 371 00:21:24,359 --> 00:21:27,840 Speaker 1: which are discursive and user generated, have become the default 372 00:21:27,880 --> 00:21:32,399 Speaker 1: method to designate collective thoughts, ideas, arguments, and experiences that 373 00:21:32,520 --> 00:21:36,080 Speaker 1: might otherwise stand alone or be quickly subsumed within the 374 00:21:36,119 --> 00:21:40,000 Speaker 1: fast paced prestige of Twitter. Hashtags makes sense of groups 375 00:21:40,040 --> 00:21:43,240 Speaker 1: of tweets by creating a searchable shortcut that can link 376 00:21:43,320 --> 00:21:47,480 Speaker 1: people in ideas together. The origin of hashtag activism sprung 377 00:21:47,560 --> 00:21:50,719 Speaker 1: up around eleven. It is noted that one of the 378 00:21:50,760 --> 00:21:54,040 Speaker 1: first usages of the activism could be pointed to the 379 00:21:54,080 --> 00:21:58,600 Speaker 1: hashtag Arab Spring, which started spreading in early eleven in 380 00:21:58,680 --> 00:22:01,720 Speaker 1: order to bring awareness to the anti government protests in 381 00:22:01,760 --> 00:22:04,760 Speaker 1: North Africa and in the Middle East. The overall usage 382 00:22:04,760 --> 00:22:08,600 Speaker 1: of hashtags has created more space for disenfranchised voices to 383 00:22:08,680 --> 00:22:11,280 Speaker 1: be heard. In the book, they talk about the importance 384 00:22:11,359 --> 00:22:14,520 Speaker 1: of the platform and the importances of hashtags for the 385 00:22:14,560 --> 00:22:17,960 Speaker 1: marginalized community. They write, members of these marginalized groups, in 386 00:22:17,960 --> 00:22:21,320 Speaker 1: the tradition of counter publics, use Twitter hashtags to build 387 00:22:21,359 --> 00:22:24,320 Speaker 1: diverse networks of dissent and shape the cultural and political 388 00:22:24,359 --> 00:22:28,680 Speaker 1: knowledge fundamental to contemporary identity based social movements. Uh yeah, 389 00:22:28,680 --> 00:22:31,200 Speaker 1: and we wanted to take some time to talk about 390 00:22:31,240 --> 00:22:34,439 Speaker 1: specific examples of some of this hashtag activism. Some of 391 00:22:34,440 --> 00:22:38,159 Speaker 1: the more influential and viewed hashtags used have been for 392 00:22:38,280 --> 00:22:42,560 Speaker 1: social justice movements. For feminist movements, we have hashtag me 393 00:22:42,640 --> 00:22:46,080 Speaker 1: two hashtag guests all Women, hashtag the empty Chair, and 394 00:22:46,119 --> 00:22:50,640 Speaker 1: hashtag while We Stayed, and more recently hashtag shout your Abortion, 395 00:22:51,280 --> 00:22:55,400 Speaker 1: which has created a larger narrative around different movements within 396 00:22:55,480 --> 00:22:59,040 Speaker 1: the feminist movement. Uh. These movements are often considered to be, 397 00:22:59,280 --> 00:23:01,960 Speaker 1: as we said, a part of the feminist Twitter or 398 00:23:02,160 --> 00:23:05,560 Speaker 1: feminist tiktoko, which typically provides space to feminists to move 399 00:23:05,600 --> 00:23:08,520 Speaker 1: forward in the movement or the current issues at hand. 400 00:23:09,119 --> 00:23:12,560 Speaker 1: Hashtags like es all Women garnered a global level of attention, 401 00:23:12,760 --> 00:23:15,320 Speaker 1: which at one point the hashtag being tweeted about more 402 00:23:15,359 --> 00:23:19,720 Speaker 1: than one million accounts. Of course, with another hashtag trending 403 00:23:19,800 --> 00:23:23,679 Speaker 1: at the same time, hashtag not All Men Right, and 404 00:23:23,800 --> 00:23:26,800 Speaker 1: hashtags like not all Men and Men's Rights have been 405 00:23:26,880 --> 00:23:30,000 Speaker 1: used it as a response to the different feminist hashtags 406 00:23:30,040 --> 00:23:32,239 Speaker 1: and they continue to be part of the conversation in 407 00:23:32,240 --> 00:23:36,399 Speaker 1: that specific subculture. But there were others that were considered 408 00:23:36,560 --> 00:23:40,119 Speaker 1: ally hashtags, like the empty Chair, which was created by 409 00:23:40,200 --> 00:23:44,280 Speaker 1: journalist Elon James White, which was created um after the 410 00:23:44,320 --> 00:23:48,680 Speaker 1: Bill Cosby hashtag. The hashtag was created after the publishing 411 00:23:48,720 --> 00:23:51,520 Speaker 1: of the powerful cover photo of Eleven Women and an 412 00:23:51,560 --> 00:23:55,960 Speaker 1: Empty Chair in reference to Cosby's assault accusation. The empty 413 00:23:56,040 --> 00:23:59,000 Speaker 1: chair has been used to quote signify the eleven other 414 00:23:59,040 --> 00:24:02,040 Speaker 1: women who have a Hughes Kasby of assault but weren't 415 00:24:02,080 --> 00:24:05,800 Speaker 1: photographed for the magazine, but was also representative of the 416 00:24:05,800 --> 00:24:09,320 Speaker 1: many women who didn't come forward. The hashtag was eventually 417 00:24:09,480 --> 00:24:12,840 Speaker 1: used for anonymous accounts of assault and harassment many women 418 00:24:12,880 --> 00:24:17,720 Speaker 1: experienced but couldn't come forward with. The movement was a 419 00:24:17,760 --> 00:24:21,760 Speaker 1: monumental one for survivors, as Jackson, Bailey and Wells Right 420 00:24:22,320 --> 00:24:25,320 Speaker 1: published over the course of several days. Hashtag the Empty 421 00:24:25,400 --> 00:24:28,360 Speaker 1: Chair worked primarily to show the scale of sexual violence, 422 00:24:28,600 --> 00:24:31,359 Speaker 1: the scale at which survivors are silenced. It did so 423 00:24:31,480 --> 00:24:35,040 Speaker 1: through two types of discourse, one affirming belief in survivors 424 00:24:35,040 --> 00:24:37,919 Speaker 1: and the value of women's experience regardless of when or 425 00:24:37,960 --> 00:24:41,480 Speaker 1: if they come forward, and the second calling attention to 426 00:24:41,560 --> 00:24:46,040 Speaker 1: the often invisible scope of the problem. Right, Um, of course, 427 00:24:46,080 --> 00:24:48,040 Speaker 1: this is a bigger conversation about alic ship and we're 428 00:24:48,040 --> 00:24:50,120 Speaker 1: gonna kind of get into it a minute and how 429 00:24:50,160 --> 00:24:53,960 Speaker 1: it may go arrve. But another subset comes from what 430 00:24:54,080 --> 00:24:58,200 Speaker 1: is typically regarded as black Twitter movement, like hashtag black 431 00:24:58,240 --> 00:25:00,560 Speaker 1: Lives Matter or b l M hash to actually say 432 00:25:00,560 --> 00:25:03,919 Speaker 1: her name and hashtag I can't breathe trended due to 433 00:25:03,960 --> 00:25:07,119 Speaker 1: the continued violence against the black community, often at the 434 00:25:07,160 --> 00:25:10,840 Speaker 1: hands of law enforcement and and much like the feminist hashtags, 435 00:25:10,880 --> 00:25:14,480 Speaker 1: these were typically started by women of color. Like most 436 00:25:14,520 --> 00:25:17,200 Speaker 1: issues when it comes to social justice and social movements, 437 00:25:17,920 --> 00:25:20,960 Speaker 1: is women of color, typically Black women, who start these 438 00:25:20,960 --> 00:25:24,840 Speaker 1: trends and hashtags. It's all about intersectionality and that's what 439 00:25:24,880 --> 00:25:28,439 Speaker 1: they do. And as the research shows, Black Americans actually 440 00:25:28,440 --> 00:25:30,720 Speaker 1: make up the majority of Twitter users. And this is 441 00:25:30,760 --> 00:25:34,719 Speaker 1: of course as of things have changed. Um we need 442 00:25:34,760 --> 00:25:37,200 Speaker 1: to get the statistics because things are rapidly changing in 443 00:25:37,240 --> 00:25:38,919 Speaker 1: the world of Twitter. We know this and many have 444 00:25:39,040 --> 00:25:42,800 Speaker 1: made a mass exodus. So how have these hashtags helped 445 00:25:42,840 --> 00:25:45,520 Speaker 1: the marginalized communities? As we said before, many of these 446 00:25:45,520 --> 00:25:49,080 Speaker 1: powerful hashtags and trends begin with black women and oftentimes 447 00:25:49,119 --> 00:25:53,720 Speaker 1: goes into larger movements outside of the platforms. It allows 448 00:25:53,720 --> 00:25:57,640 Speaker 1: for community among the different marginalized groups and solidarity which 449 00:25:57,640 --> 00:26:01,679 Speaker 1: is oftentimes unseen during times of stress. An example of 450 00:26:01,720 --> 00:26:04,440 Speaker 1: that that I actually didn't know much about until recently 451 00:26:04,640 --> 00:26:09,719 Speaker 1: is hashtag fast tailed girls. When um, there's conversation of 452 00:26:09,920 --> 00:26:13,480 Speaker 1: young black women being too loose or too fast um 453 00:26:13,520 --> 00:26:16,280 Speaker 1: and having a conversation of them being sexualized at an 454 00:26:16,320 --> 00:26:19,399 Speaker 1: early age and just being sexualized just for existing. And 455 00:26:19,440 --> 00:26:23,399 Speaker 1: it brought a larger commodity among black women to be 456 00:26:23,480 --> 00:26:27,159 Speaker 1: able to speak out against the misogyn nooir based on this. 457 00:26:27,320 --> 00:26:29,320 Speaker 1: So it was an amazing movement to see and it's 458 00:26:29,320 --> 00:26:31,920 Speaker 1: so important for us to look at because we don't 459 00:26:31,960 --> 00:26:37,240 Speaker 1: hear about these conversations and it doesn't take off unless 460 00:26:37,320 --> 00:26:41,720 Speaker 1: something like a hashtag really happens. There is also a 461 00:26:41,800 --> 00:26:46,040 Speaker 1: chance of preserving history and seeking visibility and justice for 462 00:26:46,040 --> 00:26:48,960 Speaker 1: those who may never receive it by courts. We've talked 463 00:26:48,960 --> 00:26:51,959 Speaker 1: about that before, as well as the author's right in 464 00:26:52,000 --> 00:26:56,160 Speaker 1: the hashtag activism book quote. A similar commitment to historical 465 00:26:56,240 --> 00:26:59,280 Speaker 1: memory is seen in hashtag say her Name tweets highlighting 466 00:26:59,320 --> 00:27:02,160 Speaker 1: historical case is of state violence against black women, such 467 00:27:02,200 --> 00:27:05,400 Speaker 1: as the nineteen four killing of Eleanor Bumpers by the NYPD, 468 00:27:05,880 --> 00:27:09,720 Speaker 1: alongside more recent ones as a digital utterance engaging a 469 00:27:09,800 --> 00:27:13,320 Speaker 1: variety of political demands around visibility, state violence, feminism, and 470 00:27:13,400 --> 00:27:17,080 Speaker 1: racial justice. Hashtag say her Name plays two primary roles 471 00:27:17,080 --> 00:27:20,040 Speaker 1: on Twitter. First, it eulogizes women of color killed as 472 00:27:20,040 --> 00:27:23,600 Speaker 1: a result of misogynoirestic violence, insisting that their lives and 473 00:27:23,640 --> 00:27:26,840 Speaker 1: stories matter. On Twitter, this came to include assists and 474 00:27:26,880 --> 00:27:30,040 Speaker 1: trans black and Latin X women and girls killed by 475 00:27:30,080 --> 00:27:32,760 Speaker 1: police or while police custody, as well as those killed 476 00:27:32,760 --> 00:27:35,160 Speaker 1: as the result of a larger culture of neglect regarding 477 00:27:35,160 --> 00:27:38,400 Speaker 1: the safety of black and brown women. Second, it demands 478 00:27:38,480 --> 00:27:41,360 Speaker 1: visibility of these stories in the name of specific interventions 479 00:27:41,359 --> 00:27:45,399 Speaker 1: into systemic and intersectional forms of oppression. This visibility is 480 00:27:45,440 --> 00:27:49,240 Speaker 1: frequently accompanied not only by the invocation of names and stories, 481 00:27:49,280 --> 00:27:53,760 Speaker 1: but also by statistics, political demands, and calls for policy interventions. 482 00:27:54,160 --> 00:27:57,000 Speaker 1: Right and oftentimes we can see of the result of 483 00:27:57,040 --> 00:27:59,919 Speaker 1: what happens UM. One of the prime examples would be 484 00:28:00,080 --> 00:28:03,720 Speaker 1: hashtag Brianna Taylor. We saw a result of what we 485 00:28:03,760 --> 00:28:06,720 Speaker 1: went on, including the trials and the arrests and the 486 00:28:06,800 --> 00:28:10,560 Speaker 1: firing and the corruption that happened years later. And it 487 00:28:10,680 --> 00:28:14,720 Speaker 1: is because of hashtags like say her name, UM, that 488 00:28:14,800 --> 00:28:17,840 Speaker 1: has really brought about a change in what we see 489 00:28:17,840 --> 00:28:21,000 Speaker 1: and what we witnessed and the accountability that sometimes is 490 00:28:21,040 --> 00:28:23,480 Speaker 1: and sometimes isn't there UM. And I think that's a 491 00:28:23,520 --> 00:28:26,040 Speaker 1: bigger part of that conversation, as in fact, they talked 492 00:28:26,040 --> 00:28:29,160 Speaker 1: about in this book that hashtag trade von Martin still 493 00:28:29,200 --> 00:28:31,520 Speaker 1: exists today, is still used today in order that we 494 00:28:31,560 --> 00:28:34,960 Speaker 1: still remember what has happened, UM and the tragedy and 495 00:28:35,000 --> 00:28:38,640 Speaker 1: the injustice that happened because of that incident, and making 496 00:28:38,640 --> 00:28:42,000 Speaker 1: sure that we have a conversation of the bigger implications. 497 00:28:42,360 --> 00:28:45,480 Speaker 1: And I think it really brought an awareness to these 498 00:28:45,520 --> 00:28:48,880 Speaker 1: injustices that hadn't been around in the last you know, century, 499 00:28:49,320 --> 00:28:52,440 Speaker 1: until the last decade of some of these movements, so 500 00:28:52,480 --> 00:28:55,000 Speaker 1: I think it's also a bigger conversation. And then and 501 00:28:55,040 --> 00:28:58,120 Speaker 1: of course again you have to credit black women who 502 00:28:58,120 --> 00:29:00,600 Speaker 1: are the ones at the forefront of bringing this about. 503 00:29:00,880 --> 00:29:03,520 Speaker 1: No matter what we say about the Black Lives Matter organization, 504 00:29:03,760 --> 00:29:05,240 Speaker 1: there's a lot of ups and downs, and there's a 505 00:29:05,240 --> 00:29:08,720 Speaker 1: lot of conversations about being a kind of crumbling, but 506 00:29:08,840 --> 00:29:12,200 Speaker 1: the actual movement in itself has held strong and has 507 00:29:12,240 --> 00:29:15,240 Speaker 1: meant a lot for those who have no voice and 508 00:29:15,280 --> 00:29:18,520 Speaker 1: those who are often times oppressed, so you can't ignore 509 00:29:19,120 --> 00:29:22,320 Speaker 1: the impact of it all. Of course, there are some 510 00:29:22,440 --> 00:29:24,480 Speaker 1: good and bad with this, and we want to talk 511 00:29:24,480 --> 00:29:27,680 Speaker 1: about that, um as we know. As good great as 512 00:29:27,800 --> 00:29:31,080 Speaker 1: some of these hashtag activism is, there's also the bad, 513 00:29:31,080 --> 00:29:34,280 Speaker 1: as we talked about not all men wasn't great. Uh. 514 00:29:34,320 --> 00:29:37,560 Speaker 1: There's also talking when we had that conversation with women 515 00:29:37,640 --> 00:29:41,000 Speaker 1: white women taking on like no, you know, feminism and 516 00:29:41,080 --> 00:29:43,640 Speaker 1: forgetting that there is an intersectionality to it and being 517 00:29:43,640 --> 00:29:46,520 Speaker 1: called out and then making excuses. There are a lot 518 00:29:46,560 --> 00:29:49,640 Speaker 1: of conversations about that. And then of course, UM, we 519 00:29:49,720 --> 00:29:53,880 Speaker 1: have but not so great hashtags that we wish didn't 520 00:29:53,880 --> 00:29:59,480 Speaker 1: exist UM and oftentimes are detrimental, racist, very very damaging 521 00:29:59,520 --> 00:30:02,800 Speaker 1: and viole lint even that have existed as well, So 522 00:30:02,840 --> 00:30:05,400 Speaker 1: you can't have one without the other. However, there has 523 00:30:05,440 --> 00:30:10,400 Speaker 1: been implementations used in order to redirect and one of 524 00:30:10,440 --> 00:30:12,959 Speaker 1: that would be the hashtag of flooding. And if you're 525 00:30:13,000 --> 00:30:17,400 Speaker 1: wondering what hashtag flooding is is the act of hijacking 526 00:30:17,440 --> 00:30:20,920 Speaker 1: a hashtag on social media platforms to change its meaning UM, 527 00:30:21,080 --> 00:30:23,440 Speaker 1: which apparently has been around for years. And that's from 528 00:30:23,440 --> 00:30:27,080 Speaker 1: the article was a year activist mastered hashtag flooding from 529 00:30:27,200 --> 00:30:31,320 Speaker 1: Mashable dot com. We talked about the power of fan 530 00:30:31,400 --> 00:30:34,160 Speaker 1: girls and fans and one of the things that we 531 00:30:34,240 --> 00:30:37,200 Speaker 1: can ignore is that the BTS flans did some things, 532 00:30:37,480 --> 00:30:41,440 Speaker 1: including a flooding Donald Trump related hashtag uh. In order 533 00:30:41,520 --> 00:30:46,920 Speaker 1: to at rally with the gay community. UM, they took 534 00:30:46,960 --> 00:30:50,600 Speaker 1: their own spin on the Proud boy hashtag Proud boys hashtags. 535 00:30:50,800 --> 00:30:54,440 Speaker 1: It was beautiful to see because it was ridiculous and 536 00:30:54,480 --> 00:30:56,200 Speaker 1: funny at the same time, because all you would see 537 00:30:56,200 --> 00:30:58,560 Speaker 1: as pictures of bts. I think that's what I really 538 00:30:58,600 --> 00:31:03,360 Speaker 1: understood how powerful the fan groups really were. Another one 539 00:31:03,400 --> 00:31:07,360 Speaker 1: would be hashtag my nyp D originally was something that 540 00:31:07,400 --> 00:31:10,840 Speaker 1: the police department tried to do too look better um 541 00:31:10,880 --> 00:31:14,560 Speaker 1: and asking for good stories or good interactions. Instead got 542 00:31:14,560 --> 00:31:20,880 Speaker 1: flooded with accounts of assault or harassment or police brutality. 543 00:31:21,000 --> 00:31:22,800 Speaker 1: It did not go well, and I think there was 544 00:31:22,840 --> 00:31:25,720 Speaker 1: even one tweet that says, I don't think you thought 545 00:31:25,720 --> 00:31:29,680 Speaker 1: this through in reply to the NYPD request. But of 546 00:31:29,720 --> 00:31:32,400 Speaker 1: course that can also turn for a flip. You can 547 00:31:32,440 --> 00:31:35,160 Speaker 1: also have that in different ways, which we've seen recently. 548 00:31:36,400 --> 00:31:40,880 Speaker 1: The Elon musk stands are out there and the minute 549 00:31:41,040 --> 00:31:43,920 Speaker 1: they must have it like on alert. If anyone talks 550 00:31:43,960 --> 00:31:47,880 Speaker 1: bad about Elon MUCKs, they come out in droves. I 551 00:31:47,920 --> 00:31:51,920 Speaker 1: was kind of floored by that because I know I 552 00:31:51,960 --> 00:31:54,600 Speaker 1: don't know many people that treat him as a scud, 553 00:31:54,680 --> 00:31:58,120 Speaker 1: which apparently for some are. Of course, we're not talking 554 00:31:58,160 --> 00:32:01,000 Speaker 1: about bots, so that's a whole different conversation. And that's 555 00:32:01,040 --> 00:32:02,720 Speaker 1: the other part to that is that some of this 556 00:32:02,760 --> 00:32:07,120 Speaker 1: flooding is coming from bots as well. UM. Another example 557 00:32:07,160 --> 00:32:10,720 Speaker 1: of the flooding that was really great White Lives Matter 558 00:32:10,960 --> 00:32:14,120 Speaker 1: that happened after in response to Black Lives Matter, UH 559 00:32:14,320 --> 00:32:18,640 Speaker 1: got really reamed over by BTS fans as well, and 560 00:32:19,120 --> 00:32:20,440 Speaker 1: you love to see it. You love to see it 561 00:32:20,480 --> 00:32:22,600 Speaker 1: as well as the Q and non stuff. But again 562 00:32:22,640 --> 00:32:25,520 Speaker 1: that also came with Pizza Gate, which had its own boom. 563 00:32:25,560 --> 00:32:28,400 Speaker 1: So there's a conversation about whether or not this is 564 00:32:29,400 --> 00:32:32,440 Speaker 1: great or concerning and what what does it look like 565 00:32:32,440 --> 00:32:35,680 Speaker 1: in the future. Um. And for flooding, who knows it's 566 00:32:35,680 --> 00:32:39,240 Speaker 1: according to who kind of controls that narrative, who kind 567 00:32:39,240 --> 00:32:43,080 Speaker 1: of controls that social platform? Um, who has uh the 568 00:32:43,080 --> 00:32:46,040 Speaker 1: most monetary gain? Of course, you know, Facebook was a 569 00:32:46,080 --> 00:32:48,960 Speaker 1: part of that problem when when they refused to uh 570 00:32:49,000 --> 00:32:51,240 Speaker 1: take down this information because they were making too much 571 00:32:51,280 --> 00:32:53,600 Speaker 1: money off of it. So there's kind of this whole 572 00:32:53,680 --> 00:33:10,120 Speaker 1: level of conversations. As we kind of wrap it up, 573 00:33:10,120 --> 00:33:11,600 Speaker 1: we want to talk about the good, the bad, and 574 00:33:11,640 --> 00:33:14,719 Speaker 1: the uncertainty when it comes to social media with this 575 00:33:14,760 --> 00:33:19,240 Speaker 1: activism as well hashtag activism. We know that the activism 576 00:33:19,320 --> 00:33:22,920 Speaker 1: does bring out community and organizations things that you may 577 00:33:23,000 --> 00:33:25,440 Speaker 1: never know about. One of the first things I saw 578 00:33:25,600 --> 00:33:29,520 Speaker 1: during like the Black Lives Matter protests during uh Ferguson 579 00:33:29,880 --> 00:33:33,080 Speaker 1: with Michael Brown being murdered, as well as the death 580 00:33:33,200 --> 00:33:38,200 Speaker 1: in UM New York, we saw people coming together and 581 00:33:38,240 --> 00:33:40,120 Speaker 1: one of the best ways that happened was through the 582 00:33:40,160 --> 00:33:44,760 Speaker 1: hashtag black Lives Matter, organizing and creating protests all around 583 00:33:44,760 --> 00:33:47,600 Speaker 1: the country and seeing that support and coming together. We 584 00:33:47,640 --> 00:33:50,440 Speaker 1: saw that with a Women's March really coming together as 585 00:33:50,480 --> 00:33:52,600 Speaker 1: a country and having in the rally. As in fact, 586 00:33:52,640 --> 00:33:55,840 Speaker 1: we know there's another Women's march coming up Bully January. 587 00:33:56,080 --> 00:33:58,600 Speaker 1: We'll have to go back and look UM that's seeking 588 00:33:58,640 --> 00:34:01,240 Speaker 1: to have a conversation or at least protests against the 589 00:34:01,320 --> 00:34:04,960 Speaker 1: Roe v. Wade overturning UM. And those are some amazing, 590 00:34:05,000 --> 00:34:08,040 Speaker 1: amazing things that we want to keep looking at it. 591 00:34:08,200 --> 00:34:11,320 Speaker 1: And and if we look towards black women, they really 592 00:34:11,360 --> 00:34:14,120 Speaker 1: are the ones that have used these in the most creative, 593 00:34:14,160 --> 00:34:18,720 Speaker 1: discinct ways and tactics and releasing these hashtags. Of course, 594 00:34:18,719 --> 00:34:20,839 Speaker 1: we have to look at the bad as we talked 595 00:34:20,840 --> 00:34:25,080 Speaker 1: about UH. There's a lot more conversations about possibly being 596 00:34:25,320 --> 00:34:30,920 Speaker 1: watched by police days. Essentially we know around really watches 597 00:34:30,960 --> 00:34:34,800 Speaker 1: that there was several UM arrest based on people's post 598 00:34:34,920 --> 00:34:38,719 Speaker 1: in supporting protesters and they were arrested just for that, 599 00:34:39,040 --> 00:34:42,960 Speaker 1: and that is concerning UH. There has been groups where 600 00:34:43,560 --> 00:34:47,440 Speaker 1: UH specific hashtag was made by police by law enforcement 601 00:34:47,440 --> 00:34:50,600 Speaker 1: in order to catch people, essentially in order to get 602 00:34:50,719 --> 00:34:54,799 Speaker 1: names in order to surveil UH. The Standing Rock protests 603 00:34:55,080 --> 00:34:58,440 Speaker 1: had many many of the police officers trying to find 604 00:34:58,760 --> 00:35:02,080 Speaker 1: individuals to arrest, to arrass all of those things. But 605 00:35:02,120 --> 00:35:04,480 Speaker 1: the good news on that was there was many supporters 606 00:35:04,480 --> 00:35:07,399 Speaker 1: who also checked in and did the hashtags in order 607 00:35:07,440 --> 00:35:10,880 Speaker 1: to confuse and bombard anybody who would use those types 608 00:35:11,000 --> 00:35:16,440 Speaker 1: of methods. But it is concerning obviously, obviously the continued harassment. 609 00:35:16,840 --> 00:35:18,920 Speaker 1: We know that if you take a stance and if 610 00:35:18,920 --> 00:35:22,120 Speaker 1: you link to that again, Alon Musk supporters right now 611 00:35:22,200 --> 00:35:27,560 Speaker 1: are on on unfull going after anyone and everyone. Again, 612 00:35:27,880 --> 00:35:30,279 Speaker 1: I don't know the butts maybe there are hopefully that 613 00:35:30,239 --> 00:35:32,279 Speaker 1: they will come after me. I'm not important though, but 614 00:35:32,360 --> 00:35:37,640 Speaker 1: I've seen it. I've even seen recently in conversations for UH, 615 00:35:37,800 --> 00:35:40,719 Speaker 1: conversations for black women, to support black women. We know 616 00:35:41,280 --> 00:35:44,680 Speaker 1: the trial for Megan di Stallion just happened. He was 617 00:35:44,719 --> 00:35:48,360 Speaker 1: found guilty, but to watch what was happening on Twitter, 618 00:35:48,480 --> 00:35:52,760 Speaker 1: to watch the hashtag Megan Installion hashtag believe her, believe 619 00:35:52,800 --> 00:35:56,160 Speaker 1: black women. They were attacked every single like time there 620 00:35:56,200 --> 00:35:59,759 Speaker 1: would be one to one where some misogynist, misogyn noir 621 00:35:59,800 --> 00:36:02,279 Speaker 1: would be coming out full full force, and it was 622 00:36:02,320 --> 00:36:04,960 Speaker 1: based on these hashtags. It was really really gross and ugly. 623 00:36:05,280 --> 00:36:08,520 Speaker 1: They continued to harass individuals who would support They continued 624 00:36:08,520 --> 00:36:11,080 Speaker 1: to harass her to the point that she just regrets. 625 00:36:11,120 --> 00:36:14,759 Speaker 1: She said she regretted doing this. Um. So there's a 626 00:36:14,800 --> 00:36:17,839 Speaker 1: lot to talk about with the bad and then there's 627 00:36:17,880 --> 00:36:21,920 Speaker 1: the uncertainty. UM I talked about earlier, the ally ship 628 00:36:22,120 --> 00:36:25,279 Speaker 1: that has happened with hashtags like the empty chair he 629 00:36:25,440 --> 00:36:28,120 Speaker 1: for she all of these things, but unfortunately a lot 630 00:36:28,160 --> 00:36:31,640 Speaker 1: of these hashtags don't have a plan with it, They 631 00:36:31,719 --> 00:36:33,600 Speaker 1: don't have a call to action with it. They are 632 00:36:33,680 --> 00:36:35,160 Speaker 1: just more of like I want to tell you my 633 00:36:35,239 --> 00:36:36,839 Speaker 1: story and I want to tell you I'm not as 634 00:36:36,880 --> 00:36:39,200 Speaker 1: bad as them, which will happened a lot, which is 635 00:36:39,320 --> 00:36:42,840 Speaker 1: very counterintuitive to what needs to happen. That's the conversation 636 00:36:42,880 --> 00:36:47,000 Speaker 1: of like, you're not understanding what hashtag activism was originally 637 00:36:47,040 --> 00:36:51,560 Speaker 1: intended to be, and you're now overtaking the original intent, 638 00:36:51,600 --> 00:36:54,560 Speaker 1: which was a call to action for those to come together. 639 00:36:54,760 --> 00:36:57,120 Speaker 1: So it's kind of like, I get what you're trying 640 00:36:57,200 --> 00:37:00,359 Speaker 1: to do, but good intentions are always great, And that's 641 00:37:00,360 --> 00:37:02,680 Speaker 1: that conversation that we need to have. Why are you 642 00:37:02,719 --> 00:37:05,120 Speaker 1: creating this? Are you doing this in support? Or have 643 00:37:05,239 --> 00:37:07,520 Speaker 1: you taken over something that you shouldn't be taking over? 644 00:37:07,600 --> 00:37:10,640 Speaker 1: Have you made the story about you? Or are you 645 00:37:10,680 --> 00:37:13,880 Speaker 1: taking credit? Alissa Milano it's kind of a prime example 646 00:37:13,920 --> 00:37:16,520 Speaker 1: of that. She took a movement that wasn't a hashtag yet, 647 00:37:16,640 --> 00:37:18,880 Speaker 1: but it was a movement that Toronto Burke started and 648 00:37:18,920 --> 00:37:22,000 Speaker 1: I believe two thousand and seven of me too, and 649 00:37:22,040 --> 00:37:24,400 Speaker 1: took it onto Twitter and took credit for it until 650 00:37:24,440 --> 00:37:26,720 Speaker 1: she got called out. I think she would say she didn't. 651 00:37:26,800 --> 00:37:29,200 Speaker 1: She was just trying to push forward a movement, which 652 00:37:29,239 --> 00:37:32,320 Speaker 1: was great, but you have to be able to get credit. 653 00:37:32,560 --> 00:37:34,960 Speaker 1: And again, this is kind of the erasure that happens 654 00:37:35,000 --> 00:37:38,400 Speaker 1: over and over and over again with these movements. Oscar 655 00:37:38,480 --> 00:37:40,840 Speaker 1: so White another one of those kind of trying to 656 00:37:40,920 --> 00:37:43,080 Speaker 1: change to those narratives, which is really really great, But 657 00:37:43,120 --> 00:37:47,160 Speaker 1: then it kind of also falls apart um when nothing 658 00:37:47,239 --> 00:37:50,840 Speaker 1: changes and it seems seems to stay the same. So 659 00:37:50,920 --> 00:37:53,520 Speaker 1: there's a lot to be said about that. As we're 660 00:37:53,600 --> 00:37:56,600 Speaker 1: watching Twitter, it seems to be going, I don't know, 661 00:37:56,760 --> 00:37:59,800 Speaker 1: I know nothing about Twitter outside of what I read. 662 00:38:00,440 --> 00:38:03,719 Speaker 1: It has changed. Obviously, the platform has changed greatly, But 663 00:38:04,160 --> 00:38:07,000 Speaker 1: when it comes down to it, because Twitter was as 664 00:38:07,040 --> 00:38:11,120 Speaker 1: a forefront essentially of the hashtag movements, it seems uncertain 665 00:38:11,120 --> 00:38:13,799 Speaker 1: about what we're going to see with these types of 666 00:38:13,800 --> 00:38:16,920 Speaker 1: hashtag activists and what does it look like. TikTok has 667 00:38:17,160 --> 00:38:20,839 Speaker 1: created its own brand of hashtags of the use of hashtags, 668 00:38:21,000 --> 00:38:23,600 Speaker 1: so it will be interesting to see how it evolves 669 00:38:24,040 --> 00:38:26,279 Speaker 1: and then how it whether or not they're going to 670 00:38:26,320 --> 00:38:29,759 Speaker 1: include the people who were the big proponents to this, 671 00:38:30,160 --> 00:38:33,360 Speaker 1: which is women of color, black women, right. And I 672 00:38:33,400 --> 00:38:37,400 Speaker 1: think something like this is so important to talk about because, 673 00:38:37,920 --> 00:38:39,880 Speaker 1: you know, even if, as we said in that episode 674 00:38:39,880 --> 00:38:43,279 Speaker 1: of Bridget you don't use Twitter, you know, like about 675 00:38:43,320 --> 00:38:48,640 Speaker 1: these movements we're talking about, you've seen experienced the outcomes 676 00:38:48,680 --> 00:38:52,319 Speaker 1: from them. Um, you've heard of them, and they have 677 00:38:52,560 --> 00:38:55,080 Speaker 1: become a part of our vocabulary and vernacular, and you 678 00:38:55,120 --> 00:39:01,280 Speaker 1: know they can be these really creative fun things, um, 679 00:39:01,320 --> 00:39:04,960 Speaker 1: but also it's just these real tools for change that 680 00:39:05,000 --> 00:39:08,440 Speaker 1: are It's always good to keep in mind where that 681 00:39:08,480 --> 00:39:12,640 Speaker 1: comes from the people who should credit uh and just 682 00:39:12,680 --> 00:39:14,759 Speaker 1: how you are using them because you never know. You 683 00:39:14,760 --> 00:39:18,840 Speaker 1: should always check your hashtag before you posted that was 684 00:39:19,400 --> 00:39:21,960 Speaker 1: associated with something else that you don't want it to 685 00:39:22,000 --> 00:39:25,000 Speaker 1: be associated with. Are taking conversation away from something you 686 00:39:25,000 --> 00:39:29,839 Speaker 1: shouldn't be taking conversation away from exactly? Yes, yes, yes, yes, 687 00:39:29,960 --> 00:39:33,239 Speaker 1: well this was a fun one. This was a fun one, 688 00:39:33,600 --> 00:39:35,440 Speaker 1: and we do have a lot more of this technology 689 00:39:35,480 --> 00:39:40,000 Speaker 1: stuff coming along, so look out for that. Also. Yeah, 690 00:39:40,160 --> 00:39:42,640 Speaker 1: just let us know if you've got any thoughts about hashtags, 691 00:39:42,680 --> 00:39:47,080 Speaker 1: hashtag history, favorite hashtags that would be wonderful. You can 692 00:39:47,200 --> 00:39:49,120 Speaker 1: email us at Stephanie mom Stuff at I hurt mea 693 00:39:49,160 --> 00:39:52,000 Speaker 1: dot com. You can find it's on Twitter, mom Stuff 694 00:39:52,040 --> 00:39:54,359 Speaker 1: podcast or on Instagram at stuff I Never Told You. 695 00:39:54,680 --> 00:39:58,359 Speaker 1: Thanks as always to our super producer, Christina Hashtag, Thank 696 00:39:58,400 --> 00:40:02,880 Speaker 1: you and thanks to you for listening. Stuff one ever 697 00:40:02,880 --> 00:40:04,840 Speaker 1: Told Me his production by heart Radio. For more podcasts 698 00:40:04,880 --> 00:40:06,319 Speaker 1: or my heart Radio, you can check out the heart 699 00:40:06,360 --> 00:40:09,040 Speaker 1: Radio app, Apple Podcast wherever you listen to your favorite shows,