1 00:00:05,240 --> 00:00:07,840 Speaker 1: Hey, this is Annie and Samantha. I'm welcome to stuff 2 00:00:07,840 --> 00:00:20,079 Speaker 1: I never told you protection of I heart radio. Today 3 00:00:20,120 --> 00:00:24,479 Speaker 1: we're talking about the internet webs Yes, and I feel 4 00:00:24,480 --> 00:00:27,720 Speaker 1: like you and I have already told the story of 5 00:00:27,800 --> 00:00:31,080 Speaker 1: our because we're caring from small towns and the internet 6 00:00:31,160 --> 00:00:34,600 Speaker 1: was slow at best. I had a thirty minute time 7 00:00:34,640 --> 00:00:38,920 Speaker 1: period where that was the only we split it up 8 00:00:38,920 --> 00:00:41,959 Speaker 1: between me and my siblings. We only had thirty minutes each. 9 00:00:42,000 --> 00:00:44,720 Speaker 1: We did have a computer room, like Bridget mentioned in 10 00:00:44,720 --> 00:00:48,159 Speaker 1: a recent episode where you write it out during food 11 00:00:48,240 --> 00:00:51,520 Speaker 1: like there's a big sign in all coups, right right, 12 00:00:52,560 --> 00:00:56,639 Speaker 1: But yeah, those like early experiences of just waiting so 13 00:00:56,720 --> 00:01:00,880 Speaker 1: long for these web pages to load. I guess this 14 00:01:00,960 --> 00:01:03,400 Speaker 1: isn't necessarily related to the Internet. But since we've already 15 00:01:03,440 --> 00:01:06,759 Speaker 1: told those stories, do you remember when you first bought 16 00:01:06,800 --> 00:01:11,280 Speaker 1: like the computer in the house. Oh see, I did 17 00:01:11,280 --> 00:01:14,800 Speaker 1: not have internet growing up, so I would travel to 18 00:01:15,000 --> 00:01:18,280 Speaker 1: my friend's houses or stay at a library. So there 19 00:01:18,360 --> 00:01:21,880 Speaker 1: was no internet until I left for college. And I 20 00:01:21,920 --> 00:01:25,640 Speaker 1: was the last kid in the house, so we didn't 21 00:01:25,680 --> 00:01:27,959 Speaker 1: have it. I think I stayed. Yeah, I stayed over 22 00:01:28,000 --> 00:01:29,959 Speaker 1: at my aunt's one night to do a full report 23 00:01:30,000 --> 00:01:32,679 Speaker 1: because she had it, but she was in town as 24 00:01:32,680 --> 00:01:35,160 Speaker 1: where we were in the outskirts of town. Like this 25 00:01:35,200 --> 00:01:38,399 Speaker 1: is why I still say I'm going into town when 26 00:01:38,440 --> 00:01:40,440 Speaker 1: I actually lived in a town, Like it's a part 27 00:01:40,480 --> 00:01:43,720 Speaker 1: of my vocabulary, my like speech, because that wasn't a 28 00:01:43,760 --> 00:01:46,400 Speaker 1: literal thing for me. People made fun of me when 29 00:01:46,400 --> 00:01:47,800 Speaker 1: I went to college, and I would say that They're 30 00:01:47,840 --> 00:01:51,120 Speaker 1: like what, But so I don't know because I was 31 00:01:51,160 --> 00:01:54,160 Speaker 1: trying to think right before you asked me this, How 32 00:01:54,200 --> 00:01:57,200 Speaker 1: did my parents get that computer? Where did that come from? 33 00:01:57,200 --> 00:01:59,440 Speaker 1: When I came home from college? Because I think I 34 00:01:59,520 --> 00:02:02,960 Speaker 1: told the story where I was on the webs after 35 00:02:03,000 --> 00:02:05,559 Speaker 1: I come home from college one summer, the only summer 36 00:02:05,600 --> 00:02:08,680 Speaker 1: I did this, and our house got struck my lightning 37 00:02:08,919 --> 00:02:12,760 Speaker 1: and it happened beyond the computer, and that's when everything burned. 38 00:02:14,360 --> 00:02:16,760 Speaker 1: So to me, that would the one and only time 39 00:02:16,800 --> 00:02:20,200 Speaker 1: I think I used the computer. That a curse computer itself. 40 00:02:21,160 --> 00:02:23,240 Speaker 1: And now I'm thinking back, I was like, I don't 41 00:02:23,280 --> 00:02:28,000 Speaker 1: know where did they buy this? Was it given to them? 42 00:02:28,320 --> 00:02:31,560 Speaker 1: I'm actually very surprised they had one even after we left, 43 00:02:32,080 --> 00:02:34,960 Speaker 1: because to this day, I think I don't know if 44 00:02:34,960 --> 00:02:37,280 Speaker 1: my mother has an email address. I'm sure she does, 45 00:02:37,960 --> 00:02:40,160 Speaker 1: I'm not sure. And the only reason my father had 46 00:02:40,200 --> 00:02:42,040 Speaker 1: an email address was because he had to have it 47 00:02:42,120 --> 00:02:47,120 Speaker 1: for work. What about you? And I'm still gonna be 48 00:02:47,120 --> 00:02:49,200 Speaker 1: I'm gonna be thinking about this for a while now. Well, 49 00:02:49,280 --> 00:02:51,800 Speaker 1: I I would like to put in here too. I 50 00:02:51,919 --> 00:02:55,280 Speaker 1: have some friends who are you know, still in the 51 00:02:55,440 --> 00:02:57,639 Speaker 1: long ago where I grew up, or other small towns 52 00:02:57,680 --> 00:03:01,240 Speaker 1: that still have like the one computer room in the 53 00:03:01,280 --> 00:03:04,120 Speaker 1: house where you go and it's like this old desktop. 54 00:03:05,040 --> 00:03:08,400 Speaker 1: And I have many fond memories of my grandparents house 55 00:03:09,160 --> 00:03:11,760 Speaker 1: because they had a nicer computer than we did, but 56 00:03:11,840 --> 00:03:13,600 Speaker 1: it was in a computer room and I would play 57 00:03:13,720 --> 00:03:18,360 Speaker 1: that like what was it Johnny Skater game and the 58 00:03:18,480 --> 00:03:21,000 Speaker 1: mouse Chap game. Oh good day. I don't even know 59 00:03:21,040 --> 00:03:23,880 Speaker 1: what those are me either. I can barely remember, but 60 00:03:23,960 --> 00:03:28,160 Speaker 1: they were fun. I remember Mine Sweep Mine Solitaire, and 61 00:03:28,200 --> 00:03:30,399 Speaker 1: there was this detective game. To this day, I wish 62 00:03:30,440 --> 00:03:32,800 Speaker 1: I could remember what that was, because I love solving mysteries. 63 00:03:33,600 --> 00:03:39,440 Speaker 1: But my family and he was we went to a 64 00:03:39,600 --> 00:03:43,440 Speaker 1: store and I so hope that this brings back nostalgic 65 00:03:43,520 --> 00:03:46,640 Speaker 1: memories for some and then really confused his younger listeners. 66 00:03:47,560 --> 00:03:50,400 Speaker 1: It was like buying a car like, imagine you go 67 00:03:50,480 --> 00:03:55,360 Speaker 1: in there's a lot of desk, like big bulky desktops. 68 00:03:55,400 --> 00:03:58,200 Speaker 1: They're not on desk either, They're sitting on the floor 69 00:03:58,320 --> 00:04:03,440 Speaker 1: on carpets. And the salesperson comes out and walks you around, 70 00:04:03,560 --> 00:04:07,640 Speaker 1: and we'll be like, this is the Gateway. N it 71 00:04:07,720 --> 00:04:14,880 Speaker 1: comes with this mug, and that's what we got, the Gateway. 72 00:04:15,520 --> 00:04:16,920 Speaker 1: You know, now that I'm thinking about it, I don't 73 00:04:16,960 --> 00:04:20,840 Speaker 1: think I've ever owned a brand new computer laptop because 74 00:04:21,000 --> 00:04:23,200 Speaker 1: my brother for a little while got into his own 75 00:04:23,240 --> 00:04:27,160 Speaker 1: little restoring business for laptops and it would just refurbish 76 00:04:27,200 --> 00:04:28,640 Speaker 1: and he would just give it to me. I'm like cool. 77 00:04:29,040 --> 00:04:30,920 Speaker 1: And then after that I would work and they would 78 00:04:30,960 --> 00:04:34,960 Speaker 1: just provide you currently using our work computer work laptop. 79 00:04:35,200 --> 00:04:37,760 Speaker 1: So I just bought a Chromebook, but I don't know 80 00:04:37,760 --> 00:04:42,360 Speaker 1: if I've used it more than three times. The Gateway, 81 00:04:42,440 --> 00:04:46,240 Speaker 1: Oh my god, it came with the mug and a 82 00:04:46,279 --> 00:04:52,600 Speaker 1: cow print mouse cow print. Yes, wow, memory, y'all. Yes, 83 00:04:52,839 --> 00:04:54,640 Speaker 1: it would be very old for those who don't know 84 00:04:54,680 --> 00:04:56,520 Speaker 1: what we're talking about. Yeah, it was. It was a 85 00:04:56,520 --> 00:04:59,080 Speaker 1: wild experience, but it was I remember being so excited 86 00:04:59,120 --> 00:05:02,400 Speaker 1: and thinking like this whole world is going to open 87 00:05:02,480 --> 00:05:07,479 Speaker 1: for me this whole world. Yes, brand new world. It 88 00:05:07,680 --> 00:05:10,960 Speaker 1: was agreed. I guess that's a segway into what we're 89 00:05:10,960 --> 00:05:16,040 Speaker 1: talking about today, which is more about the Internet. Yes, yes, 90 00:05:16,120 --> 00:05:20,040 Speaker 1: so today we're talking about the Internet gender gap. So 91 00:05:20,240 --> 00:05:24,000 Speaker 1: the Internet is incredibly important to modern life, from access 92 00:05:24,040 --> 00:05:28,240 Speaker 1: to education to increasingly daily functions like paying bills, banking, 93 00:05:28,640 --> 00:05:31,840 Speaker 1: booking appointments, including vaccine appointments, as Samantha and I were 94 00:05:31,880 --> 00:05:35,960 Speaker 1: just discussing, tell a medicine appointments, keeping up with others, 95 00:05:36,000 --> 00:05:40,560 Speaker 1: staying informed, protesting, and of course entertainment. If I, as 96 00:05:40,560 --> 00:05:42,839 Speaker 1: I've often said, and I know people hate hearing this, 97 00:05:42,920 --> 00:05:45,320 Speaker 1: but I feel like I've handled the pandemic pretty well. 98 00:05:45,720 --> 00:05:47,440 Speaker 1: But if I didn't have the Internet, it would be 99 00:05:47,440 --> 00:05:51,520 Speaker 1: a very very different story. I really do wonder what 100 00:05:51,560 --> 00:05:54,000 Speaker 1: would have happened. Well, obviously what you from home would 101 00:05:54,000 --> 00:05:58,039 Speaker 1: have been impossible, and so people would be in such disarray. 102 00:05:58,360 --> 00:06:00,680 Speaker 1: Had it not been for this type of technolo oology, 103 00:06:00,880 --> 00:06:04,760 Speaker 1: we would be like seriously screwed. Yes, But also this 104 00:06:04,839 --> 00:06:07,440 Speaker 1: is also why we need to talk about this gap 105 00:06:07,560 --> 00:06:09,880 Speaker 1: in general, like why we continue to harp on the 106 00:06:09,920 --> 00:06:13,520 Speaker 1: fact that accessibility is so so important and the lack 107 00:06:13,560 --> 00:06:16,920 Speaker 1: of it how it is damaging and crippling for a 108 00:06:16,920 --> 00:06:20,960 Speaker 1: lot of people in families, Oh absolutely, and yes, access 109 00:06:21,000 --> 00:06:23,479 Speaker 1: to the internet is critical and a lot of business 110 00:06:23,600 --> 00:06:28,040 Speaker 1: arenas too, and allows for entrepreneurs to start businesses, sell products, 111 00:06:28,040 --> 00:06:33,719 Speaker 1: find jobs, and improve professional skills. Over of the world's 112 00:06:33,800 --> 00:06:37,359 Speaker 1: jobs involve a digital component, and some estimates indicate that 113 00:06:38,240 --> 00:06:43,280 Speaker 1: all global GDP will be digitized by um and I know, 114 00:06:43,360 --> 00:06:45,240 Speaker 1: like I can't remember the number, but it was a 115 00:06:45,320 --> 00:06:49,479 Speaker 1: very big number of financial transactions happen online now and 116 00:06:49,520 --> 00:06:51,880 Speaker 1: things like rant and and Venmo just being huge in 117 00:06:51,920 --> 00:06:55,240 Speaker 1: that space, and for those living in areas with laws 118 00:06:55,320 --> 00:06:59,240 Speaker 1: or social taboos around women working Instagram businesses can still 119 00:06:59,600 --> 00:07:02,840 Speaker 1: sometimes be a possibility. Thousands of women have done just 120 00:07:03,040 --> 00:07:06,640 Speaker 1: that in Saudi Arabia, right, and we've really seen the 121 00:07:06,640 --> 00:07:09,359 Speaker 1: importance of it throughout this pandemic, as we were just saying, 122 00:07:09,360 --> 00:07:12,680 Speaker 1: which has also how that is again how in many 123 00:07:12,720 --> 00:07:15,600 Speaker 1: ways it is a privilege, whether it's based on where 124 00:07:15,640 --> 00:07:18,880 Speaker 1: you live, your income, or down gender and racial lines. 125 00:07:19,600 --> 00:07:22,679 Speaker 1: Is not equally accessible to everyone, as we were saying. 126 00:07:22,680 --> 00:07:25,440 Speaker 1: And that's not even getting into the speed of the internet. 127 00:07:25,480 --> 00:07:29,120 Speaker 1: Internet free, which by the way, is hilarious because even 128 00:07:29,120 --> 00:07:30,520 Speaker 1: if you have all the money in the world, you 129 00:07:30,560 --> 00:07:35,400 Speaker 1: might not be able to control that. End the story. 130 00:07:35,760 --> 00:07:39,120 Speaker 1: Or Internet harassment, which has been a big thing going 131 00:07:39,160 --> 00:07:42,120 Speaker 1: on in Twitter, especially for women journalists right now. Um 132 00:07:42,160 --> 00:07:44,080 Speaker 1: will probably come back and talk about that later on 133 00:07:44,840 --> 00:07:48,160 Speaker 1: and online dangerous that silence women. Yep. And some reports 134 00:07:48,160 --> 00:07:50,960 Speaker 1: show that one in five girls leave or significantly reduced 135 00:07:50,960 --> 00:07:54,120 Speaker 1: their social media presence due to harassment, which I think 136 00:07:54,160 --> 00:07:56,080 Speaker 1: every single to the time I've seen someone say I 137 00:07:56,080 --> 00:07:58,360 Speaker 1: have to leave social media, it's pretty much been a woman, 138 00:07:58,560 --> 00:08:03,960 Speaker 1: like from my feed, yeah, almost always, or it's very 139 00:08:04,080 --> 00:08:07,440 Speaker 1: rarely a dude who's leaving because his wife was such 140 00:08:07,640 --> 00:08:10,360 Speaker 1: or his whoever he's attached to that is a woman. 141 00:08:11,120 --> 00:08:13,440 Speaker 1: It was the target and therefore it kind of spilled 142 00:08:13,480 --> 00:08:17,000 Speaker 1: over to him on every now and again because he 143 00:08:17,120 --> 00:08:21,200 Speaker 1: is the harasser who's getting quote unquote canceled. Right, But 144 00:08:21,240 --> 00:08:22,960 Speaker 1: we're not going to go into that too much right now. 145 00:08:24,320 --> 00:08:27,200 Speaker 1: Um So, in the words of the Worldwide Web Foundation, quote, 146 00:08:27,240 --> 00:08:29,960 Speaker 1: women around the world report being bombarded by a culture 147 00:08:30,000 --> 00:08:34,800 Speaker 1: of misogyny online, including aggressive, often sexualized hate speech, direct 148 00:08:34,840 --> 00:08:38,280 Speaker 1: threats of violence, harassment, and revenge porn involving use of 149 00:08:38,360 --> 00:08:42,720 Speaker 1: personal slash private information for defamation. And they are also 150 00:08:42,840 --> 00:08:45,160 Speaker 1: five times less likely to pursue a career in tech. 151 00:08:45,240 --> 00:08:48,120 Speaker 1: As we've talked about previously on Facebook, Google and Apple 152 00:08:48,320 --> 00:08:52,880 Speaker 1: all have less than of women on staff as of seventeen, 153 00:08:53,040 --> 00:08:55,520 Speaker 1: which of course is not helping when they continue to 154 00:08:55,679 --> 00:08:59,400 Speaker 1: gas light their female employees. Yes, and and we've talked 155 00:08:59,400 --> 00:09:04,160 Speaker 1: about how a lot of women have said again this 156 00:09:04,320 --> 00:09:08,160 Speaker 1: whole thing, this like aggressive toxic environment is a part 157 00:09:08,200 --> 00:09:10,400 Speaker 1: of why they don't go into it or can't stay 158 00:09:10,400 --> 00:09:13,560 Speaker 1: in it. Some experts actually speculate that because they are 159 00:09:13,640 --> 00:09:16,520 Speaker 1: less women online and in tech, it fosters an online 160 00:09:16,600 --> 00:09:20,520 Speaker 1: environment that allows for more harassment and toxic behavior online, 161 00:09:20,840 --> 00:09:23,720 Speaker 1: thus bullying more women into silence, so very vicious cycle, 162 00:09:24,400 --> 00:09:28,640 Speaker 1: which makes sense. And that goes back to the biases 163 00:09:28,679 --> 00:09:32,200 Speaker 1: and coding, right, who's making the code, who's making these programs. 164 00:09:32,200 --> 00:09:34,160 Speaker 1: If you don't have women are marginalized people in the 165 00:09:34,240 --> 00:09:36,760 Speaker 1: room making them, then of course they're being overlooked and 166 00:09:37,120 --> 00:09:41,439 Speaker 1: those problems will continue. And limiting access to the internet 167 00:09:41,440 --> 00:09:43,880 Speaker 1: are cyberstalking are forms of abuse women and girls to 168 00:09:43,880 --> 00:09:47,080 Speaker 1: deal with. Two not to mention, yes, revenge porn and 169 00:09:47,240 --> 00:09:50,240 Speaker 1: highly sexualized deep fakes, which is the thing that terrifies 170 00:09:50,280 --> 00:09:52,600 Speaker 1: me and is getting the technology is getting better all 171 00:09:52,600 --> 00:09:58,600 Speaker 1: the time, and in countries where open discussion of women's 172 00:09:58,600 --> 00:10:01,280 Speaker 1: sexual health and issues might be limited, the Internet is 173 00:10:01,320 --> 00:10:05,320 Speaker 1: a huge help there. Art can be right. So as 174 00:10:05,480 --> 00:10:08,439 Speaker 1: we missed the United Nations Sustainable Development goals of achieving 175 00:10:08,520 --> 00:10:13,079 Speaker 1: universal affordable Internet access worldwide, and reports show that at 176 00:10:13,080 --> 00:10:17,760 Speaker 1: the current rate that won't be achieved until tree probably 177 00:10:17,760 --> 00:10:22,560 Speaker 1: gonna be dead by then. An estimated two billion girls 178 00:10:22,559 --> 00:10:25,680 Speaker 1: and women don't have access. The UN has set a 179 00:10:25,720 --> 00:10:31,319 Speaker 1: new goal on their Agenda for Sustainable Development ensuring the 180 00:10:31,440 --> 00:10:34,640 Speaker 1: quote use of enabling technology in particular I c T 181 00:10:34,880 --> 00:10:39,000 Speaker 1: S or Internet communications technology to promote the empowerment of women. Yeah, 182 00:10:39,080 --> 00:10:42,600 Speaker 1: so let's run some numbers and caveat before we do. 183 00:10:43,360 --> 00:10:46,880 Speaker 1: The numbers can vary really widely, and that is based 184 00:10:46,880 --> 00:10:50,560 Speaker 1: on how people calculate and report, and we'll try to 185 00:10:50,600 --> 00:10:52,600 Speaker 1: point out those instances in there. But if if we're 186 00:10:52,640 --> 00:10:54,319 Speaker 1: going through some numbers, you're like that that doesn't really 187 00:10:54,360 --> 00:11:00,440 Speaker 1: match up that other number. Yeah, yeah, we know there's 188 00:11:01,200 --> 00:11:05,520 Speaker 1: there's some confusion around it. So around half of the 189 00:11:05,559 --> 00:11:09,360 Speaker 1: world is still offline. Since the Internet became more widespread 190 00:11:09,400 --> 00:11:11,960 Speaker 1: amongst the public and the nineties, there has been a 191 00:11:12,040 --> 00:11:15,880 Speaker 1: persistent gender gap in users. Women's access to the Internet 192 00:11:15,960 --> 00:11:19,040 Speaker 1: is higher than men's and only eight percent of countries 193 00:11:19,080 --> 00:11:22,360 Speaker 1: and gender equality exists and only twenty five percent of 194 00:11:22,400 --> 00:11:26,680 Speaker 1: countries everywhere else men have more access. A two thousand 195 00:11:26,720 --> 00:11:30,520 Speaker 1: study found that quote to statistically significant gender gaps exist 196 00:11:30,559 --> 00:11:33,320 Speaker 1: on the Internet in access and in use, and that 197 00:11:33,400 --> 00:11:36,120 Speaker 1: around quote one half of the digital divide between men 198 00:11:36,120 --> 00:11:41,040 Speaker 1: and women on the Internet is fundamentally gender related. And 199 00:11:41,160 --> 00:11:44,560 Speaker 1: the social construction of technology theory suggests you can't not 200 00:11:45,000 --> 00:11:48,440 Speaker 1: think about gender when you discuss technology because technology models 201 00:11:48,760 --> 00:11:52,679 Speaker 1: after those who and the society that made it from 202 00:11:52,880 --> 00:11:56,200 Speaker 1: the paper gendered space. The digital divide between male and 203 00:11:56,240 --> 00:11:59,960 Speaker 1: female users in Internet public access sites quote. Technology enable 204 00:12:00,280 --> 00:12:02,640 Speaker 1: changes in society, So technology plays a role in the 205 00:12:02,640 --> 00:12:05,760 Speaker 1: construction of gender by creating new possibilities of how gender 206 00:12:05,840 --> 00:12:09,200 Speaker 1: roles might be performed in a new area. So. Another 207 00:12:09,200 --> 00:12:13,400 Speaker 1: study found that financial independence and internet access are correlated, 208 00:12:13,400 --> 00:12:16,280 Speaker 1: as the price and prise. Women statistically have more control 209 00:12:16,320 --> 00:12:19,000 Speaker 1: of our family decisions and invest ten times more of 210 00:12:19,080 --> 00:12:21,760 Speaker 1: their earnings than men do. So a two thousand to 211 00:12:21,880 --> 00:12:24,920 Speaker 1: study found that there were no gender significant gender differences 212 00:12:24,960 --> 00:12:28,400 Speaker 1: in how men and women use the Internet. Really, even 213 00:12:28,440 --> 00:12:36,240 Speaker 1: with porn, I think it was more talking about um okay. 214 00:12:36,240 --> 00:12:38,520 Speaker 1: So apparently there was this assumption that men were more 215 00:12:38,559 --> 00:12:41,360 Speaker 1: comfortable with it and it made women anxious and they 216 00:12:41,400 --> 00:12:44,280 Speaker 1: just used it for interpersonal connection. So they thought that 217 00:12:44,360 --> 00:12:47,600 Speaker 1: like men were way more technical about it and women 218 00:12:47,640 --> 00:12:50,320 Speaker 1: were like way too scared to use it, okay, okay, 219 00:12:50,320 --> 00:12:52,679 Speaker 1: so in that realm because I'm like, I don't, I 220 00:12:52,720 --> 00:12:55,280 Speaker 1: don't know, that's interesting. I feel like when it comes 221 00:12:55,360 --> 00:12:59,200 Speaker 1: to who access as porn, statistically, it's men, right, I mean, 222 00:12:59,240 --> 00:13:02,680 Speaker 1: women still like access it, but most likely and when 223 00:13:02,679 --> 00:13:05,560 Speaker 1: you break it down in those ways of like, yes, women, 224 00:13:06,280 --> 00:13:09,600 Speaker 1: well I haven't looked at the numbers recently, but like 225 00:13:09,800 --> 00:13:14,480 Speaker 1: do use your personal connection wait like a Pinterest and 226 00:13:14,520 --> 00:13:17,080 Speaker 1: Twitter and things like that more than men. So there 227 00:13:17,120 --> 00:13:18,959 Speaker 1: are those differences, but I think it was more looking 228 00:13:18,960 --> 00:13:23,280 Speaker 1: into like women only used it for that and nothing 229 00:13:23,320 --> 00:13:26,520 Speaker 1: else like porn I guess you could put into some 230 00:13:26,559 --> 00:13:29,440 Speaker 1: people would argue health but entertainment, and you know women 231 00:13:29,520 --> 00:13:34,480 Speaker 1: watch entertainment for health. Like it was more like attitudes 232 00:13:34,600 --> 00:13:38,440 Speaker 1: towards it got you, got you. So another study did 233 00:13:38,480 --> 00:13:40,559 Speaker 1: find that video games, which I was going to talk 234 00:13:40,559 --> 00:13:44,200 Speaker 1: about to help acclimate people to technology. And since this 235 00:13:44,240 --> 00:13:48,160 Speaker 1: has been traditionally a boy's arena quote unquote, boys and 236 00:13:48,200 --> 00:13:51,920 Speaker 1: men had an advantage, but recent numbers are saying that 237 00:13:51,920 --> 00:13:54,920 Speaker 1: that is changing and we love it and we're probably 238 00:13:54,920 --> 00:14:01,000 Speaker 1: gonna talk about it later, but yeah, yeah, of samanthem 239 00:14:02,760 --> 00:14:06,120 Speaker 1: Um from the O E c D Report bridgeting the 240 00:14:06,160 --> 00:14:10,280 Speaker 1: digital gender divide include upskill innovate quote. While eight six 241 00:14:10,280 --> 00:14:13,760 Speaker 1: percent of sellers on Etsy are women, there are proportionately 242 00:14:13,800 --> 00:14:16,719 Speaker 1: fewer female sellers in traditional shops for home furnishing in 243 00:14:16,800 --> 00:14:20,800 Speaker 1: household appliances. Furthermore, with sixty seven female host on Airbnb, 244 00:14:21,320 --> 00:14:24,840 Speaker 1: there are more female host on home sharing services as 245 00:14:24,880 --> 00:14:27,880 Speaker 1: such as Airbnb then there are women employed in the 246 00:14:27,920 --> 00:14:31,400 Speaker 1: tourism industry. Higher female employment rates can also be found 247 00:14:31,400 --> 00:14:34,480 Speaker 1: in the ride sharing economy. The right hearing economy has 248 00:14:34,520 --> 00:14:38,280 Speaker 1: more female chauffeurs than there are female taxi drivers. Transport 249 00:14:38,320 --> 00:14:41,040 Speaker 1: services as ubers show a higher female employment rate for 250 00:14:41,200 --> 00:14:46,000 Speaker 1: freelancer individual workers than comparable transport services in the United States. 251 00:14:46,000 --> 00:14:49,520 Speaker 1: The proportion of female drivers is higher for Uber than 252 00:14:49,560 --> 00:14:53,000 Speaker 1: for traditional taxis eight percent working part time or flexible 253 00:14:53,040 --> 00:14:56,000 Speaker 1: schedules because of a family, education, or health reason are 254 00:14:56,000 --> 00:15:00,440 Speaker 1: the main reasons for female drivers as compared to in 255 00:15:00,480 --> 00:15:04,120 Speaker 1: the case of MIT. Now, that is a whole separate 256 00:15:04,120 --> 00:15:07,600 Speaker 1: conversation that we should revisit. Say we talked about that, 257 00:15:07,680 --> 00:15:12,200 Speaker 1: right pastos have talked about um, I think drive sharing 258 00:15:12,800 --> 00:15:18,640 Speaker 1: and maybe definitely um No, Pinterest wasn't nothing I talked about, 259 00:15:19,520 --> 00:15:22,560 Speaker 1: so it's been covered. But there are issues inherent when 260 00:15:22,640 --> 00:15:27,080 Speaker 1: you're having conversations about a big economy like this and 261 00:15:27,200 --> 00:15:29,960 Speaker 1: why more women are able to succeed in those spaces 262 00:15:30,040 --> 00:15:32,360 Speaker 1: or you know, succeeded. I guess you can argue as 263 00:15:32,360 --> 00:15:36,280 Speaker 1: well why that's happening and if it's good. But the 264 00:15:36,360 --> 00:15:42,520 Speaker 1: point is being connected to the Internet opens job opportunities 265 00:15:42,640 --> 00:15:47,040 Speaker 1: for women. Right. I remember having what I used to 266 00:15:47,160 --> 00:15:50,000 Speaker 1: ride ubers and other right chairs because that that has 267 00:15:50,040 --> 00:15:53,040 Speaker 1: not happened in the past year. But I remember, specifically 268 00:15:53,040 --> 00:15:55,680 Speaker 1: when we we're going to dragon Con, which hopefully will 269 00:15:55,720 --> 00:15:58,960 Speaker 1: come back, a woman who had picked us up and 270 00:15:59,280 --> 00:16:02,200 Speaker 1: taken us back comb. She was talking about how this 271 00:16:02,280 --> 00:16:04,400 Speaker 1: was her full time gig because she was able to 272 00:16:04,480 --> 00:16:08,560 Speaker 1: work within the system to make it profitable for her. 273 00:16:08,600 --> 00:16:12,440 Speaker 1: Because we also know that Uber for all, it is 274 00:16:12,800 --> 00:16:16,280 Speaker 1: all the intent behind it was meant for a part time, 275 00:16:16,360 --> 00:16:19,080 Speaker 1: extra money thing, which is also why they didn't want 276 00:16:19,080 --> 00:16:21,320 Speaker 1: to treat them as employees and treat them as contractors, 277 00:16:21,320 --> 00:16:25,080 Speaker 1: which is not gonna happen anymore. But that was that 278 00:16:25,120 --> 00:16:29,200 Speaker 1: whole level. But also it took away money and made 279 00:16:29,360 --> 00:16:33,040 Speaker 1: you know, Uber the company billionaire companies while leaving uh 280 00:16:33,280 --> 00:16:35,960 Speaker 1: individual drivers in the lurch and at times holding bags 281 00:16:35,960 --> 00:16:39,400 Speaker 1: owing money back because of certain markets that they had 282 00:16:39,440 --> 00:16:41,480 Speaker 1: to hit or certain certain points that they had to 283 00:16:41,560 --> 00:16:44,120 Speaker 1: hit in order to earn money. But she was really 284 00:16:44,160 --> 00:16:46,480 Speaker 1: good and making sure that she could work that system 285 00:16:47,120 --> 00:16:49,680 Speaker 1: for her advantage. But she definitely talked about how it 286 00:16:49,720 --> 00:16:52,520 Speaker 1: took her a few months to get there, but now 287 00:16:52,600 --> 00:16:55,280 Speaker 1: she loves it. Of course, I'm sure if I talked 288 00:16:55,320 --> 00:16:57,400 Speaker 1: to her again that would have changed. But it was 289 00:16:57,440 --> 00:16:59,560 Speaker 1: interesting how she was plotting it and how she had 290 00:16:59,600 --> 00:17:02,840 Speaker 1: to be so methodical to do so. Yeah, and that's 291 00:17:02,920 --> 00:17:07,600 Speaker 1: going to be interesting after as we come out of 292 00:17:07,600 --> 00:17:13,400 Speaker 1: this pandemic, because we talked about how perhaps this might 293 00:17:13,520 --> 00:17:17,120 Speaker 1: have pressured companies. Are shown companies that you can offer 294 00:17:17,200 --> 00:17:20,399 Speaker 1: flexible and work from home schedules, which I think is 295 00:17:20,400 --> 00:17:24,400 Speaker 1: one of the real pluses of something for women, especially 296 00:17:24,400 --> 00:17:27,520 Speaker 1: in the gig economy. So we'll see how that shakes out. 297 00:17:28,080 --> 00:17:31,399 Speaker 1: But certainly that is a high point I think for 298 00:17:31,440 --> 00:17:34,560 Speaker 1: people who work in those industries. And we do have 299 00:17:34,640 --> 00:17:37,440 Speaker 1: even more numbers for you. But first we have a 300 00:17:37,480 --> 00:17:53,280 Speaker 1: quick break for a word force sponsor and we're back, 301 00:17:53,320 --> 00:17:57,680 Speaker 1: thank to sponsor. Yeah. So, a study found four key 302 00:17:57,760 --> 00:18:02,200 Speaker 1: categories preventing the gender Internet gap, from closing access to handsets, 303 00:18:02,520 --> 00:18:07,840 Speaker 1: internet connectivity, infrastructure and literacy, and data availability, which should 304 00:18:07,880 --> 00:18:11,199 Speaker 1: not be surprising. They broke that down by category and 305 00:18:11,240 --> 00:18:15,600 Speaker 1: identified specific reasons for each. Or instance, there are stereotypes 306 00:18:15,640 --> 00:18:18,480 Speaker 1: in countries like India around women's cell phone usage that 307 00:18:18,600 --> 00:18:23,120 Speaker 1: it denotes a promiscuous and or unfaithful woman. I'm sorry, 308 00:18:23,119 --> 00:18:25,960 Speaker 1: I did not mean to laugh at that. But or 309 00:18:26,000 --> 00:18:28,679 Speaker 1: if a woman lives in certain rule areas where she 310 00:18:28,720 --> 00:18:30,639 Speaker 1: can't get a signal, she may not be allowed to 311 00:18:30,720 --> 00:18:34,040 Speaker 1: leave her home without an escort, if at all. Also, 312 00:18:34,080 --> 00:18:36,080 Speaker 1: there's an element of time. If women are expected to 313 00:18:36,119 --> 00:18:38,080 Speaker 1: handle the caretaking, they may not have time to go 314 00:18:38,160 --> 00:18:40,639 Speaker 1: somewhere to charge up or get more money on their phone. 315 00:18:40,960 --> 00:18:43,440 Speaker 1: And if that's something they don't have easy access to well, 316 00:18:43,800 --> 00:18:46,000 Speaker 1: there you go. Yeah, this was a real wake up 317 00:18:46,000 --> 00:18:48,919 Speaker 1: call for me, a very privileged wake up call. But 318 00:18:49,320 --> 00:18:52,520 Speaker 1: when I lived in the middle of nowhere in Australia, 319 00:18:52,760 --> 00:18:56,440 Speaker 1: there was no signal, and like you had to use 320 00:18:56,520 --> 00:18:59,840 Speaker 1: this like a landline phone that only worked at so 321 00:19:00,320 --> 00:19:02,600 Speaker 1: times and it was for the whole like area, so 322 00:19:02,640 --> 00:19:06,119 Speaker 1: there's hundreds of people with this one phone and it 323 00:19:06,240 --> 00:19:08,119 Speaker 1: might not even work. And then you had to dial 324 00:19:08,200 --> 00:19:12,680 Speaker 1: in like a ten digit number and then the area 325 00:19:12,760 --> 00:19:14,240 Speaker 1: code of the country you're trying to reach, and then 326 00:19:14,320 --> 00:19:16,600 Speaker 1: that number, and if you missed up one of the numbers, 327 00:19:16,640 --> 00:19:20,040 Speaker 1: like too bad, so sad because only fifteen minutes per person. 328 00:19:20,920 --> 00:19:23,399 Speaker 1: And then like when I finally I got closer to 329 00:19:24,040 --> 00:19:27,440 Speaker 1: civilization in quotes where there was more populated, I had 330 00:19:27,440 --> 00:19:31,520 Speaker 1: a cell phone, but it was an old cell phone, 331 00:19:31,520 --> 00:19:33,479 Speaker 1: and I had to put like credits on it, you know, 332 00:19:33,760 --> 00:19:36,560 Speaker 1: and it had to charge it up at like internet cafes, 333 00:19:37,160 --> 00:19:40,120 Speaker 1: and it barely worked, like it didn't get good signal. 334 00:19:40,800 --> 00:19:43,080 Speaker 1: And that's why I, like, I know, I've told bits 335 00:19:43,080 --> 00:19:45,520 Speaker 1: and pieces of this story before, but I got stuck 336 00:19:45,520 --> 00:19:49,439 Speaker 1: in Australia for a while and I got back to 337 00:19:49,640 --> 00:19:52,320 Speaker 1: it was like a seventy eight hour trip to get 338 00:19:52,359 --> 00:19:57,439 Speaker 1: back to San Francisco, I think, And I had no 339 00:19:57,600 --> 00:20:02,000 Speaker 1: money and I couldn't my phone to charge, and I 340 00:20:02,040 --> 00:20:05,960 Speaker 1: just cried because I couldn't contact my parents to be 341 00:20:06,040 --> 00:20:09,080 Speaker 1: like I'm home. I finally made it, But just things 342 00:20:09,119 --> 00:20:12,000 Speaker 1: like that, I think, if you live in a society 343 00:20:12,720 --> 00:20:15,040 Speaker 1: like Samantha and I do, you can forget I mean 344 00:20:15,080 --> 00:20:18,520 Speaker 1: even in the US, but right, I mean, even like 345 00:20:18,600 --> 00:20:22,600 Speaker 1: just the smallest inconvenience, it is so irritating. But to 346 00:20:22,800 --> 00:20:26,600 Speaker 1: have to, like on a daily basis, be controlled in 347 00:20:26,680 --> 00:20:30,399 Speaker 1: that manner is a whole different story. Yeah. And speaking 348 00:20:30,400 --> 00:20:34,560 Speaker 1: of these public spaces, men use public spaces more than 349 00:20:34,600 --> 00:20:38,040 Speaker 1: women by about ten percent where they might access technology. 350 00:20:38,440 --> 00:20:40,840 Speaker 1: And even so there's a hierarchy of comfort that has 351 00:20:40,880 --> 00:20:43,520 Speaker 1: been documented. It just makes sense to me. But people 352 00:20:43,520 --> 00:20:46,000 Speaker 1: are more comfortable accessing the Internet in their own home. 353 00:20:46,880 --> 00:20:48,800 Speaker 1: And then there's like three other things, and then the 354 00:20:48,840 --> 00:20:52,479 Speaker 1: libraries last, or like public spaces is last. There was 355 00:20:52,520 --> 00:20:56,440 Speaker 1: one exception though, as per that previously mentioned gendered spaces 356 00:20:56,480 --> 00:21:00,119 Speaker 1: study quote, the observations conducted for the study showed that 357 00:21:00,160 --> 00:21:03,399 Speaker 1: men consistently outnumbered women in computer usage in public access 358 00:21:03,440 --> 00:21:06,240 Speaker 1: sites such as community technology centers and libraries both in 359 00:21:06,280 --> 00:21:10,080 Speaker 1: nine and two thousand nine. This pattern was consistent even 360 00:21:10,160 --> 00:21:13,800 Speaker 1: when taking into account ethnicity and age. The only exception 361 00:21:13,920 --> 00:21:17,919 Speaker 1: was among African American adolescents. Black female teens used public 362 00:21:17,960 --> 00:21:21,359 Speaker 1: access sites computers more often than Black male teens. A 363 00:21:21,440 --> 00:21:24,240 Speaker 1: study that analyzes this at length included that African American 364 00:21:24,240 --> 00:21:26,119 Speaker 1: teenage men saw the library is a place that was 365 00:21:26,200 --> 00:21:28,960 Speaker 1: not for them, as opposed to African American teenage women 366 00:21:29,000 --> 00:21:31,439 Speaker 1: who saw it as a comfortable space, which I just 367 00:21:31,480 --> 00:21:34,080 Speaker 1: find interesting because we have talked so much about like 368 00:21:34,840 --> 00:21:38,000 Speaker 1: the power of black women in terms of of like 369 00:21:38,720 --> 00:21:42,800 Speaker 1: creating technology and in technology spaces. So just find that interesting. 370 00:21:43,040 --> 00:21:45,320 Speaker 1: So does that mean some of the ideas that the 371 00:21:45,359 --> 00:21:48,719 Speaker 1: library is a more feminine space? I would imagine that 372 00:21:49,400 --> 00:21:52,720 Speaker 1: if I had to put it in, you know, being 373 00:21:52,800 --> 00:21:55,600 Speaker 1: in my own just gender biases that I don't know 374 00:21:55,640 --> 00:21:57,680 Speaker 1: I've picked up, I would put the library in more 375 00:21:57,680 --> 00:22:00,760 Speaker 1: of a feminine space. But I mean is also I 376 00:22:00,760 --> 00:22:05,600 Speaker 1: would argue clearly like maybe a race aspect to that 377 00:22:05,680 --> 00:22:09,240 Speaker 1: as well, right of just not feeling safe in a 378 00:22:09,240 --> 00:22:13,679 Speaker 1: public space. That's interesting. So, but countries that have a 379 00:22:13,760 --> 00:22:17,200 Speaker 1: large Internet gap also have a gap in mobile phone usage, 380 00:22:17,200 --> 00:22:20,000 Speaker 1: which I feel like yes, which makes sense because mobile 381 00:22:20,000 --> 00:22:23,480 Speaker 1: phones are the most common way of accessing the Internet. 382 00:22:23,840 --> 00:22:26,720 Speaker 1: Two million less women than men own a mobile phone 383 00:22:26,960 --> 00:22:30,640 Speaker 1: and seven million fewer women than men have a smartphone. 384 00:22:30,680 --> 00:22:34,200 Speaker 1: That's a giant number. As of now of the world's 385 00:22:34,200 --> 00:22:36,840 Speaker 1: population lives within reach of cell signals and as of 386 00:22:38,520 --> 00:22:41,720 Speaker 1: the population owned a phone. And this gap that we're 387 00:22:41,760 --> 00:22:45,760 Speaker 1: talking about, the Internet gender gap has a huge economic impact. 388 00:22:45,800 --> 00:22:48,399 Speaker 1: According to the I t U, if six hundred million 389 00:22:48,400 --> 00:22:51,600 Speaker 1: more women girls got access to the Internet, and remember 390 00:22:51,680 --> 00:22:54,159 Speaker 1: that's not even all of them, it could translate to 391 00:22:54,200 --> 00:22:57,960 Speaker 1: a boost of global gross domestic product somewhere between thirteen 392 00:22:58,119 --> 00:23:02,080 Speaker 1: to eighteen billion dollars over the next three years. The 393 00:23:02,160 --> 00:23:06,320 Speaker 1: mckensey Institute estimates that by removing obstacles for women achieving parody. 394 00:23:07,160 --> 00:23:09,800 Speaker 1: So if I'm understanding it's correctly they're talking about like 395 00:23:10,240 --> 00:23:14,119 Speaker 1: all obstacles, but that would translate to a global GDP 396 00:23:14,680 --> 00:23:19,440 Speaker 1: growth of twenty eight trillion dollars over a ten year period. 397 00:23:20,600 --> 00:23:25,119 Speaker 1: That's a lot. That's a lot. Numbers from twenty nineteen 398 00:23:25,160 --> 00:23:27,560 Speaker 1: suggests that the percentage of women using the Internet was 399 00:23:28,320 --> 00:23:31,560 Speaker 1: compared to fifty eight percent of men. That means, relatively 400 00:23:31,800 --> 00:23:35,800 Speaker 1: the gender Internet gap is seventeen. Others estimate that the 401 00:23:35,840 --> 00:23:39,920 Speaker 1: number is closer to even. Again, it depends on how 402 00:23:39,960 --> 00:23:43,480 Speaker 1: you calculate it, and it does vary pretty widely. If 403 00:23:43,520 --> 00:23:47,600 Speaker 1: you narrow it down to buy country. For instance, in uh, 404 00:23:47,840 --> 00:23:50,840 Speaker 1: North American and Europe, the gap is more are less zero. 405 00:23:51,720 --> 00:23:54,159 Speaker 1: If we look at Asia, the Pacific, Africa, in the 406 00:23:54,160 --> 00:23:57,119 Speaker 1: Middle East, the gap is often not only substantial but 407 00:23:57,240 --> 00:24:01,720 Speaker 1: also growing since when or more users have gotten access 408 00:24:01,760 --> 00:24:04,000 Speaker 1: to the Internet, and a good chunk of those users 409 00:24:04,400 --> 00:24:08,040 Speaker 1: are men. Some of the highest gaps when using women 410 00:24:08,240 --> 00:24:12,760 Speaker 1: as the reference group are sub Saharan Africa and South 411 00:24:12,800 --> 00:24:17,920 Speaker 1: Asia one and thirty seven percent. And again there is 412 00:24:17,960 --> 00:24:21,000 Speaker 1: based on methodology, so you can get different numbers depending 413 00:24:21,000 --> 00:24:23,480 Speaker 1: on where you look. Some groups of women are even 414 00:24:23,480 --> 00:24:27,800 Speaker 1: more significantly impacted, like the elderly refugees, people who live 415 00:24:27,840 --> 00:24:31,639 Speaker 1: in rural areas, and people with disabilities. And don't forget 416 00:24:31,720 --> 00:24:35,520 Speaker 1: not everyone has electricity. Sometimes getting proof of identity to 417 00:24:35,560 --> 00:24:38,440 Speaker 1: open an account is an issue too, as our laws 418 00:24:38,480 --> 00:24:41,600 Speaker 1: against women owning property or making money. Yes, cost is 419 00:24:41,640 --> 00:24:44,320 Speaker 1: a big barrier in this whole thing as well, because 420 00:24:44,359 --> 00:24:46,960 Speaker 1: women in many areas have a less access to money, 421 00:24:47,000 --> 00:24:49,760 Speaker 1: they might be forced to get poorer quality devices with 422 00:24:49,840 --> 00:24:52,560 Speaker 1: less connectivity if it's something they can afford at all. 423 00:24:53,040 --> 00:24:56,480 Speaker 1: All right, so that's a lot of numbers, so many numbers. 424 00:24:57,520 --> 00:25:01,920 Speaker 1: So let's look at some potentials lutions. But first let's 425 00:25:01,920 --> 00:25:03,719 Speaker 1: pause for one more quick break for a word from 426 00:25:03,720 --> 00:25:20,440 Speaker 1: our sponsor, m every back, Thank you sponsored. So yeah, 427 00:25:20,520 --> 00:25:24,119 Speaker 1: let's talk about solutions. Maybe, So, most people use mobile 428 00:25:24,119 --> 00:25:26,920 Speaker 1: phones to access the Internet, Bridging the mobile phone gap 429 00:25:27,040 --> 00:25:30,159 Speaker 1: could be one way of addressing this problem. And another 430 00:25:30,200 --> 00:25:32,560 Speaker 1: issue tied up with this one is the fact that 431 00:25:32,600 --> 00:25:36,240 Speaker 1: for a good percentage of the world's population, school is 432 00:25:36,280 --> 00:25:38,719 Speaker 1: where they are introduced to technology, and as long as 433 00:25:38,720 --> 00:25:40,960 Speaker 1: girls don't have equal access to schooling is going to 434 00:25:41,040 --> 00:25:44,760 Speaker 1: be a pretty big factor to this problem. Literacy rates 435 00:25:44,800 --> 00:25:49,359 Speaker 1: obviously also play into this. Yes, some organizations have launched 436 00:25:49,359 --> 00:25:52,480 Speaker 1: initiatives to lessen the gender gap on the Internet, including 437 00:25:52,600 --> 00:25:56,640 Speaker 1: Equals Partnership and their collaboration with United Nations University or 438 00:25:56,960 --> 00:25:59,720 Speaker 1: You and You to bring together the public and private 439 00:25:59,760 --> 00:26:03,680 Speaker 1: sets to get more women and girls online. They created 440 00:26:03,720 --> 00:26:06,400 Speaker 1: this really cool gender Digital Inclusion map that you can 441 00:26:06,640 --> 00:26:10,199 Speaker 1: use to navigate to get information about this based on 442 00:26:10,280 --> 00:26:14,320 Speaker 1: location Equals also has pushed for further research or data. 443 00:26:14,359 --> 00:26:16,960 Speaker 1: Always Good and with the You and You has formed 444 00:26:17,000 --> 00:26:19,160 Speaker 1: a group of twenty nine academic partners to collect more 445 00:26:19,240 --> 00:26:22,720 Speaker 1: data about this issue. The World Bank and CEES have 446 00:26:22,880 --> 00:26:26,879 Speaker 1: partnered to form the Global Tech Challenge Solutions for Women 447 00:26:26,920 --> 00:26:30,680 Speaker 1: as well, and similarly, there's the African Girls Can Code 448 00:26:30,720 --> 00:26:33,399 Speaker 1: Initiative a g c c I and an initiative of 449 00:26:33,480 --> 00:26:36,240 Speaker 1: I TU, You and Women and the African Union Commission 450 00:26:36,280 --> 00:26:39,760 Speaker 1: dedicated to providing girls and women with digital tools and skills. 451 00:26:40,119 --> 00:26:42,960 Speaker 1: The Broadband Commission for Sustainable Developments Working Group on the 452 00:26:43,000 --> 00:26:46,400 Speaker 1: Digital Gender Divide has released a number of recommendations as well, 453 00:26:46,560 --> 00:26:50,760 Speaker 1: and several countries have launched initiative to combat this problem. Yeah, 454 00:26:51,280 --> 00:26:55,760 Speaker 1: in general, more gender focused data is needed. Let's just yes, 455 00:26:55,920 --> 00:26:59,840 Speaker 1: obviously we always need more. Increasing awareness arounds issues and 456 00:27:00,000 --> 00:27:02,320 Speaker 1: deficits of getting more women online is very important step 457 00:27:02,359 --> 00:27:05,920 Speaker 1: in this whole thing as well, and then curbing online 458 00:27:05,920 --> 00:27:08,680 Speaker 1: abuse and putting in place structures of reporting and prevention 459 00:27:09,240 --> 00:27:13,600 Speaker 1: also very important. Addressing toxic work environments and tech getting 460 00:27:13,600 --> 00:27:16,240 Speaker 1: more women in tech. There are programs that dedicated to 461 00:27:16,320 --> 00:27:20,879 Speaker 1: distributing phones to women experiencing domestic abuse as well online 462 00:27:20,960 --> 00:27:25,480 Speaker 1: or video up skilling classes to increase user confidence because 463 00:27:25,600 --> 00:27:29,359 Speaker 1: that actually that actually, uh, it's a it's a bigger 464 00:27:29,359 --> 00:27:31,480 Speaker 1: problem that you might imagine, especially if you did grow 465 00:27:31,560 --> 00:27:33,920 Speaker 1: up with technology and we were just talking about this 466 00:27:33,960 --> 00:27:36,679 Speaker 1: when it comes to the vaccine and older people not 467 00:27:36,720 --> 00:27:39,159 Speaker 1: feeling confident in the Internet, that really can keep you 468 00:27:39,200 --> 00:27:43,280 Speaker 1: away from like learning more are using it. So offering 469 00:27:43,440 --> 00:27:48,399 Speaker 1: education opportunities, addressing systemic education issues and inequalities and childcare 470 00:27:48,400 --> 00:27:54,080 Speaker 1: and domestic work, equal pay yeah, I know, equal funding 471 00:27:54,119 --> 00:27:59,200 Speaker 1: the women owned startups, right, so, also improve internet literacy. 472 00:27:59,359 --> 00:28:01,480 Speaker 1: That means it can help with the issues of oh, 473 00:28:01,560 --> 00:28:05,560 Speaker 1: I don't know, grooming, sex trafficking, harassment, and technophobia. So 474 00:28:05,640 --> 00:28:09,480 Speaker 1: instead of going online and ranting about conspiracy theories, actually 475 00:28:09,480 --> 00:28:15,320 Speaker 1: teaching m h, what could be a bad moment for 476 00:28:15,359 --> 00:28:20,520 Speaker 1: a child and or what could be misinformation disformation. Go 477 00:28:20,720 --> 00:28:24,040 Speaker 1: listen to our friend bridget tad show that might help 478 00:28:24,080 --> 00:28:27,560 Speaker 1: you surprise surprise, and then looking into and evaluating social 479 00:28:27,600 --> 00:28:30,280 Speaker 1: media or data taxes that some countries have and the 480 00:28:30,280 --> 00:28:33,000 Speaker 1: cost of the data in general. Right, so when we 481 00:28:33,040 --> 00:28:35,000 Speaker 1: talk about the fact that people are having to pay 482 00:28:35,040 --> 00:28:37,679 Speaker 1: by minute or pay by certain small amounts because they 483 00:28:37,680 --> 00:28:41,160 Speaker 1: can't afford an actual plan, which are ridiculous. And we 484 00:28:41,240 --> 00:28:43,920 Speaker 1: know capitalism is not the best, especially in the marketing 485 00:28:43,960 --> 00:28:46,200 Speaker 1: like in the US, wears owned by pretty much just 486 00:28:46,240 --> 00:28:50,800 Speaker 1: two big companies. So and then ask women and other 487 00:28:50,840 --> 00:28:55,959 Speaker 1: marginalized groups to be involved in these conversations. Surprise, got 488 00:28:56,400 --> 00:29:03,160 Speaker 1: in there, got put it in there. Yeah, And it 489 00:29:03,240 --> 00:29:05,920 Speaker 1: seems a lot of this because the un did have 490 00:29:05,960 --> 00:29:08,840 Speaker 1: that goal that yes, was missed last year. But there's 491 00:29:08,880 --> 00:29:11,280 Speaker 1: a lot of things being written about this now and 492 00:29:11,320 --> 00:29:15,920 Speaker 1: a lot of organizations and initiatives around this whole thing. 493 00:29:16,000 --> 00:29:18,000 Speaker 1: So if you want to learn more, there is a 494 00:29:18,080 --> 00:29:20,040 Speaker 1: lot out there for you. There are a lot of 495 00:29:20,080 --> 00:29:24,240 Speaker 1: resources for you, so go check those out. And yeah, 496 00:29:24,280 --> 00:29:30,360 Speaker 1: all of this has been exacerbated by COVID and just yeah, 497 00:29:30,320 --> 00:29:32,800 Speaker 1: I think about it. How many things are you trying 498 00:29:32,800 --> 00:29:36,000 Speaker 1: to do digitally now to protect yourself and your family 499 00:29:36,400 --> 00:29:38,880 Speaker 1: or to make money, yes, really working from home or 500 00:29:39,920 --> 00:29:43,680 Speaker 1: going to the doctor online, all those things, school online, 501 00:29:44,560 --> 00:29:50,160 Speaker 1: and this pandemic has really shown the importance of it 502 00:29:50,240 --> 00:29:52,920 Speaker 1: and also our dependence on it in a lot of cases. 503 00:29:53,680 --> 00:29:56,000 Speaker 1: I think it has also shown like what works and 504 00:29:56,080 --> 00:29:59,360 Speaker 1: what doesn't work? Yeah, And school you we can talk 505 00:29:59,400 --> 00:30:03,360 Speaker 1: about No, I was just laughing at that. Did you 506 00:30:03,400 --> 00:30:06,760 Speaker 1: see that article about al zoom activates your fight or flight? 507 00:30:09,440 --> 00:30:12,160 Speaker 1: Doesn't really that makes so much sense something. Yeah, a 508 00:30:12,160 --> 00:30:14,600 Speaker 1: new article just came out that said to having your 509 00:30:15,120 --> 00:30:19,840 Speaker 1: coworkers space Semantha in such like close counter where you 510 00:30:19,880 --> 00:30:26,000 Speaker 1: can't get away, right. Uh. It makes me a little 511 00:30:26,000 --> 00:30:30,240 Speaker 1: more um attention deficit, like where I have to especially 512 00:30:30,240 --> 00:30:33,440 Speaker 1: if there's a meeting with which we have which over 513 00:30:33,480 --> 00:30:36,200 Speaker 1: fifty people, and I started flicking through like who's here, 514 00:30:36,320 --> 00:30:39,680 Speaker 1: who's that? And I no longer pay into the meeting. 515 00:30:39,960 --> 00:30:42,000 Speaker 1: I do that too. I'm just like pages through like 516 00:30:42,040 --> 00:30:46,040 Speaker 1: what people's background. But I mean just kind of talking 517 00:30:46,080 --> 00:30:48,600 Speaker 1: about the expectations we lay on kids. So if you're 518 00:30:48,680 --> 00:30:51,040 Speaker 1: having that hard of time paying attention, how are these 519 00:30:51,120 --> 00:30:56,320 Speaker 1: kids doing this? And then the amount of fails? Can 520 00:30:56,360 --> 00:30:58,560 Speaker 1: we talk about that? Like my partner put on a 521 00:30:58,600 --> 00:31:02,720 Speaker 1: whole YouTube video people doing stupid on Zoom. We're saying 522 00:31:02,720 --> 00:31:05,280 Speaker 1: stupid on zoom and being called out, and I couldn't 523 00:31:05,320 --> 00:31:07,080 Speaker 1: handle it. I had to walk out, like I hate 524 00:31:07,080 --> 00:31:10,240 Speaker 1: this is the worst thing in the world, because oh 525 00:31:10,320 --> 00:31:13,080 Speaker 1: my god, it's so cringe e. It is so cringe. E. 526 00:31:13,200 --> 00:31:16,080 Speaker 1: How many people have seen people in their underwear that 527 00:31:16,120 --> 00:31:19,040 Speaker 1: they would have never seen had it not been from 528 00:31:19,080 --> 00:31:21,760 Speaker 1: this on accident. We're not going to talk about the 529 00:31:21,760 --> 00:31:25,320 Speaker 1: really harassment, but like the accidents that have happened, and 530 00:31:25,360 --> 00:31:28,080 Speaker 1: you are mortified for the rest of your life. Yeah, 531 00:31:28,280 --> 00:31:30,520 Speaker 1: I mean, I'm as I'm a coward. I'm a video 532 00:31:30,600 --> 00:31:34,200 Speaker 1: conference coward because I I'll panic, I'll be like it 533 00:31:34,280 --> 00:31:36,960 Speaker 1: says connect with computer audio and there's a hundred people 534 00:31:36,960 --> 00:31:39,480 Speaker 1: on and I like, connect on mute. Well, right, and 535 00:31:39,520 --> 00:31:42,120 Speaker 1: it's not like I even have sounds happening, right, You're 536 00:31:42,120 --> 00:31:44,200 Speaker 1: in complete silence, holding your breath. And then you're like 537 00:31:44,480 --> 00:31:49,040 Speaker 1: you but yeah, I think this is an interesting thing 538 00:31:49,080 --> 00:31:51,920 Speaker 1: that COVID and the pandemic and quarantine has shown us 539 00:31:51,960 --> 00:31:54,600 Speaker 1: a lot, and it has shown a giant gap in 540 00:31:54,640 --> 00:31:57,320 Speaker 1: the privileges. So that's also important that we make note 541 00:31:57,320 --> 00:31:59,000 Speaker 1: of it and hopefully it will be something that we 542 00:31:59,000 --> 00:32:01,600 Speaker 1: can have a solution for or although it took to 543 00:32:01,680 --> 00:32:04,800 Speaker 1: the end almost towards the end of this year last 544 00:32:04,840 --> 00:32:07,840 Speaker 1: year for Internet a couple of these like comcasts to 545 00:32:07,920 --> 00:32:10,520 Speaker 1: be like, well, okay, we'll increase sp for those who 546 00:32:10,560 --> 00:32:14,560 Speaker 1: need it, Like really, yeah, really, and they were tossing 547 00:32:14,560 --> 00:32:16,720 Speaker 1: around like data caps because they knew we're all at home, 548 00:32:16,960 --> 00:32:19,440 Speaker 1: well not all of us, but the whole are. They're 549 00:32:19,440 --> 00:32:21,640 Speaker 1: still talking about doing data caps at this point because 550 00:32:21,680 --> 00:32:23,560 Speaker 1: they were like, well, we can make more money and 551 00:32:23,640 --> 00:32:29,360 Speaker 1: there's only two of us. Let's do this together, y'all. Yea, 552 00:32:31,440 --> 00:32:35,200 Speaker 1: But yes, this lack of access worse than systemic gaps 553 00:32:35,240 --> 00:32:38,000 Speaker 1: that already exists, and we're missing out all these things 554 00:32:38,080 --> 00:32:42,120 Speaker 1: that these women and girls without the internet have to offer. 555 00:32:42,560 --> 00:32:46,080 Speaker 1: So and I don't like that. I don't like it either. 556 00:32:46,280 --> 00:32:48,240 Speaker 1: You know what. This is one of the big things 557 00:32:48,520 --> 00:32:51,800 Speaker 1: that though people are doing things on the ground and 558 00:32:51,840 --> 00:32:54,560 Speaker 1: because people may not be sharing it on the Internet, 559 00:32:54,760 --> 00:32:56,840 Speaker 1: that we're having a hard time and missing out on 560 00:32:56,880 --> 00:33:00,480 Speaker 1: all these amazing people doing amazing works. I've just talked 561 00:33:00,480 --> 00:33:02,640 Speaker 1: about the frustration of trying to find some amazing people 562 00:33:02,680 --> 00:33:04,600 Speaker 1: who I get a small blip buff but I want 563 00:33:04,640 --> 00:33:07,120 Speaker 1: to know more, and they need to be highlighted because 564 00:33:07,120 --> 00:33:10,320 Speaker 1: they're doing amazing works and it should be highlighted so 565 00:33:10,360 --> 00:33:15,160 Speaker 1: that the world season instead of just the small community. Absolutely. Yes, Well, 566 00:33:15,520 --> 00:33:21,400 Speaker 1: on that note, we would love to hear from you listeners. 567 00:33:21,920 --> 00:33:24,239 Speaker 1: You can email us at Stuff Media, mom Stuff at 568 00:33:24,240 --> 00:33:26,000 Speaker 1: I Hurt Medio dot com. You can find us on 569 00:33:26,040 --> 00:33:28,160 Speaker 1: Instagram at Stuff I've Never Told You, are on Twitter 570 00:33:28,200 --> 00:33:30,880 Speaker 1: at mom Stuff Podcast. Thanks as always to our super 571 00:33:30,920 --> 00:33:35,000 Speaker 1: producer Christina. Thank you, Christina, and thanks to you for 572 00:33:35,080 --> 00:33:37,840 Speaker 1: listening Stuff I Never Told You the protection of iHeart Radio. 573 00:33:37,880 --> 00:33:39,880 Speaker 1: For more podcast from I Heard Radio, visit I Heard 574 00:33:39,920 --> 00:33:42,000 Speaker 1: Radio app, Apple Podcasts, or wherever you listen to your 575 00:33:42,000 --> 00:33:42,680 Speaker 1: favorite shows