1 00:00:02,920 --> 00:00:05,200 Speaker 1: My name is Lily Madden and I'm a proud Arunda 2 00:00:05,440 --> 00:00:10,240 Speaker 1: Bunjelung Calcotin woman from Gadighl Country. The Daily oz acknowledges 3 00:00:10,320 --> 00:00:12,479 Speaker 1: that this podcast is recorded on the lands of the 4 00:00:12,520 --> 00:00:16,040 Speaker 1: Gadighl people and pays respect to all Aboriginal and Torres 5 00:00:16,079 --> 00:00:19,000 Speaker 1: Strait Island and nations. We pay our respects to the 6 00:00:19,000 --> 00:00:21,799 Speaker 1: first peoples of these countries, both past and present. 7 00:00:27,280 --> 00:00:29,920 Speaker 2: Good morning and welcome to the Daily os. It's Wednesday, 8 00:00:29,960 --> 00:00:33,000 Speaker 2: the twenty third of November. I'm Sam, I'm Zarah. A 9 00:00:33,040 --> 00:00:36,240 Speaker 2: new study looking at diversity in TV news and current 10 00:00:36,280 --> 00:00:38,640 Speaker 2: affairs has found there's a long way to go to 11 00:00:38,640 --> 00:00:41,760 Speaker 2: reach representation on screen, severe. 12 00:00:41,479 --> 00:00:45,600 Speaker 3: Under representation when it comes to non Europeans. The figure 13 00:00:45,720 --> 00:00:48,600 Speaker 3: is just so grossly underrepresented. 14 00:00:50,080 --> 00:00:51,879 Speaker 2: In today's deep Dive, I'm going to speak to the 15 00:00:51,920 --> 00:00:56,680 Speaker 2: CEO of Media Diversity Australia, Mariam Vesadare. But first, Sarah, 16 00:00:56,800 --> 00:01:03,880 Speaker 2: what's making headlines this morning? 17 00:01:08,160 --> 00:01:12,000 Speaker 4: Debate on the Australian Government's National Anti Corruption Commission resumed 18 00:01:12,040 --> 00:01:14,640 Speaker 4: in the House of Reps yesterday. This is that piece 19 00:01:14,680 --> 00:01:18,280 Speaker 4: of legislation that was really a big part of Labour's 20 00:01:18,360 --> 00:01:21,120 Speaker 4: election campaign and they promised to pass it by the 21 00:01:21,200 --> 00:01:23,840 Speaker 4: end of this year. There are only six more days 22 00:01:23,880 --> 00:01:25,959 Speaker 4: in the sitting calendar to pass the bill through both 23 00:01:25,959 --> 00:01:26,920 Speaker 4: houses of Parliament. 24 00:01:28,959 --> 00:01:32,560 Speaker 2: Businesses and non for profit organizations impacted by the ongoing 25 00:01:32,600 --> 00:01:35,080 Speaker 2: flooding in New South Wales will be eligible for up 26 00:01:35,120 --> 00:01:38,560 Speaker 2: to fifty thousand dollars in recovery grants. The initiative is 27 00:01:38,600 --> 00:01:40,679 Speaker 2: part of a new joint fund announced by the New 28 00:01:40,680 --> 00:01:44,200 Speaker 2: South Wales and federal governments. New South Wales Premier Dominique 29 00:01:44,200 --> 00:01:47,400 Speaker 2: Perreite and Prime Minister Anthony Aberanezi made the announcement in 30 00:01:47,400 --> 00:01:50,920 Speaker 2: the flood affected town of Ugara yesterday. A town that's 31 00:01:50,960 --> 00:01:54,360 Speaker 2: been devastated and we've seen that today, but it's a 32 00:01:54,400 --> 00:01:58,240 Speaker 2: town that's resilient. It's a town where people want to 33 00:01:58,320 --> 00:02:01,480 Speaker 2: rebuild this town and this community. 34 00:02:03,640 --> 00:02:07,280 Speaker 4: Specialized domestic violence support and services will be bolstered under 35 00:02:07,320 --> 00:02:10,560 Speaker 4: a one hundred million dollar package announced by Queensland Premier 36 00:02:10,600 --> 00:02:14,080 Speaker 4: Anastasia Palichet this week. Palochet said the package, which would 37 00:02:14,080 --> 00:02:17,639 Speaker 4: also provide further protections for people exposed to domestic violence, 38 00:02:17,960 --> 00:02:20,840 Speaker 4: was a quote renewed opportunity to make sure victims get 39 00:02:20,880 --> 00:02:22,880 Speaker 4: every support they need and deserve. 40 00:02:25,000 --> 00:02:27,720 Speaker 2: And today's good news. The Orion spacecraft, which is part 41 00:02:27,760 --> 00:02:30,560 Speaker 2: of NASA's artemus I program, has flown within one hundred 42 00:02:30,600 --> 00:02:32,800 Speaker 2: and fifty kilometers of the surface of the Moon a 43 00:02:32,880 --> 00:02:36,040 Speaker 2: week after launching. Orion is set to travel further than 44 00:02:36,080 --> 00:02:39,079 Speaker 2: any spacecraft design for humans. This is all part of 45 00:02:39,160 --> 00:02:47,639 Speaker 2: NASA's plan to return astronauts to the Moon. Media Diversity 46 00:02:47,639 --> 00:02:50,680 Speaker 2: Australia has done some research looking at the diversity of 47 00:02:50,720 --> 00:02:54,120 Speaker 2: news and TV presenters which finds we're a long way 48 00:02:54,160 --> 00:02:59,120 Speaker 2: off from representing the broader community. CEO of MDA, Mariam 49 00:02:59,200 --> 00:03:02,480 Speaker 2: Vesade is with us this morning. Mariam, what would you 50 00:03:02,560 --> 00:03:04,840 Speaker 2: say is the key finding of the report? 51 00:03:05,120 --> 00:03:09,320 Speaker 3: Yeah, I think the key takeaways that while there has 52 00:03:09,400 --> 00:03:13,040 Speaker 3: been pockets of progress and pockets of improvement since last 53 00:03:13,040 --> 00:03:16,680 Speaker 3: time this research was done, the headline is that our 54 00:03:16,720 --> 00:03:21,320 Speaker 3: screens are largely still Anglo Celtic. There's been an increase 55 00:03:21,360 --> 00:03:24,320 Speaker 3: in that figure in terms of frequency of appearance. It's 56 00:03:24,360 --> 00:03:30,000 Speaker 3: a severe underrepresentation. When it comes to non Europeans, that 57 00:03:30,080 --> 00:03:33,880 Speaker 3: portion has increased slightly, but when you compare it to 58 00:03:34,400 --> 00:03:39,040 Speaker 3: the broader population, the figure is just so grossly underrepresented. 59 00:03:39,240 --> 00:03:42,960 Speaker 2: So how did you guys go about measuring engaging diversity 60 00:03:43,160 --> 00:03:44,280 Speaker 2: to prepare this report. 61 00:03:44,440 --> 00:03:49,160 Speaker 3: Yeah, look, it's certainly not a perfect science. We specify 62 00:03:49,200 --> 00:03:54,680 Speaker 3: the fact that this is measuring perceived cultural diversity. It 63 00:03:54,760 --> 00:03:59,040 Speaker 3: is looking at people's names, it's looking at any publicly 64 00:03:59,080 --> 00:04:02,560 Speaker 3: available information about how they identify. It's using a whole 65 00:04:02,560 --> 00:04:07,320 Speaker 3: host of other academic methods to verify the details. We 66 00:04:07,440 --> 00:04:10,520 Speaker 3: hope in future that with further funding and with the 67 00:04:10,520 --> 00:04:14,640 Speaker 3: further support from ME to the broadcasters, that we can 68 00:04:14,880 --> 00:04:18,640 Speaker 3: provide richer data, which includes actually going in speaking to 69 00:04:19,320 --> 00:04:23,279 Speaker 3: on air presenters and asking them about their heritage. More broadly, 70 00:04:23,360 --> 00:04:23,760 Speaker 3: I'd love. 71 00:04:23,680 --> 00:04:25,680 Speaker 2: To take a bit of a deep dive into the 72 00:04:25,800 --> 00:04:30,280 Speaker 2: on air appearances. Specifically, what are we looking at in 73 00:04:30,320 --> 00:04:32,960 Speaker 2: Australia when we look at who is presenting the news 74 00:04:32,960 --> 00:04:34,400 Speaker 2: to us on our TVs. 75 00:04:34,720 --> 00:04:37,240 Speaker 3: Yeah, so in terms of like deep dive, we are 76 00:04:37,279 --> 00:04:41,159 Speaker 3: obviously looking at two weeks slice. The research is based 77 00:04:41,200 --> 00:04:44,040 Speaker 3: on a two week slice of television. We're talking twenty 78 00:04:44,040 --> 00:04:48,159 Speaker 3: five thousand items, a huge amount of footage that the 79 00:04:48,200 --> 00:04:52,760 Speaker 3: academics have gone through and what it measures two things. 80 00:04:52,800 --> 00:04:56,240 Speaker 3: One is the numbers in terms of just purely numbers 81 00:04:56,440 --> 00:04:59,479 Speaker 3: of people of various backgrounds on television. Then it's the 82 00:04:59,560 --> 00:05:03,320 Speaker 3: frequent see on which they appeared. So say the Anglo 83 00:05:03,320 --> 00:05:06,920 Speaker 3: Celtic category, in terms of frequency they appear about seventy 84 00:05:06,920 --> 00:05:11,719 Speaker 3: eight percent, but the general population figure of Anglo Celtic 85 00:05:11,760 --> 00:05:15,280 Speaker 3: background sits at about fifty four percent, So that gives 86 00:05:15,320 --> 00:05:19,000 Speaker 3: you an idea of the overrepresentation. If you, by comparison, 87 00:05:19,120 --> 00:05:23,360 Speaker 3: look at the non European category, they in terms of 88 00:05:23,360 --> 00:05:26,360 Speaker 3: how frequently they appear on our screens, we're talking at 89 00:05:26,360 --> 00:05:29,160 Speaker 3: about six point one percent, and that has actually increased 90 00:05:29,200 --> 00:05:32,360 Speaker 3: a little bit slightly, just about one percent since last 91 00:05:32,360 --> 00:05:35,160 Speaker 3: time we did it. But then you compare that, you know, 92 00:05:35,520 --> 00:05:39,919 Speaker 3: six percent to the general population Australia general population in 93 00:05:39,960 --> 00:05:42,400 Speaker 3: terms of non Europeans, and that figure sits at twenty 94 00:05:42,440 --> 00:05:49,520 Speaker 3: five percent, So again huge underrepresentation Indigenous representation. I think 95 00:05:49,520 --> 00:05:52,640 Speaker 3: one of the key wins here is that Indigenous representation 96 00:05:52,760 --> 00:05:55,160 Speaker 3: since last time around has increased. That figure sits it 97 00:05:55,279 --> 00:05:58,719 Speaker 3: just over five percent that we specifically know, and it's 98 00:05:58,760 --> 00:06:01,400 Speaker 3: really clear on the data that that is based on 99 00:06:01,600 --> 00:06:05,159 Speaker 3: frequency of appearance. So it means that sometimes one or 100 00:06:05,200 --> 00:06:10,280 Speaker 3: two presenters are working so hard appearing multiple times across 101 00:06:10,400 --> 00:06:13,840 Speaker 3: multiple platforms, and the point we make is what if 102 00:06:13,880 --> 00:06:16,640 Speaker 3: one of those first Nations reporters happens to be away 103 00:06:16,720 --> 00:06:19,599 Speaker 3: one week and there happens to be, you know, a 104 00:06:19,680 --> 00:06:23,360 Speaker 3: Black Lives Matter protest for example. And these are real 105 00:06:23,400 --> 00:06:25,760 Speaker 3: life things that have played out in the media where 106 00:06:25,760 --> 00:06:30,479 Speaker 3: there is a very obvious absence of a voice that 107 00:06:30,640 --> 00:06:34,400 Speaker 3: has a lived experience and can speak to the nuances 108 00:06:34,440 --> 00:06:36,719 Speaker 3: of the issues that are playing out on our screens. 109 00:06:37,360 --> 00:06:40,320 Speaker 2: Why do you think there is this disparity? I mean, 110 00:06:40,400 --> 00:06:44,200 Speaker 2: what's the rationale behind this gap? 111 00:06:45,200 --> 00:06:48,680 Speaker 3: Look, there's probably a multitude of reasons. What we think 112 00:06:48,680 --> 00:06:50,880 Speaker 3: some of the rationale and some of the reasoning behind 113 00:06:51,040 --> 00:06:54,559 Speaker 3: is that that talent pipeline doesn't exist to the extent 114 00:06:54,600 --> 00:06:57,160 Speaker 3: that we would want it in other industries. And a 115 00:06:57,200 --> 00:06:59,400 Speaker 3: big part of that is the strained media is a 116 00:06:59,440 --> 00:07:02,480 Speaker 3: loudspeaker for culture. It's kind of like a shopfront to society. 117 00:07:02,600 --> 00:07:06,560 Speaker 3: And so who you see visually matters. If people do 118 00:07:06,600 --> 00:07:11,240 Speaker 3: not see themselves reflected in the industry, the likelihood of 119 00:07:11,280 --> 00:07:14,680 Speaker 3: them wanting to perhaps want to one enter into that 120 00:07:14,720 --> 00:07:18,280 Speaker 3: profession will will be or two have the confidence that 121 00:07:18,320 --> 00:07:21,360 Speaker 3: they will be able to make it in the industry. 122 00:07:21,640 --> 00:07:24,000 Speaker 3: Those two things become an issue and so that is 123 00:07:24,080 --> 00:07:27,480 Speaker 3: precisely where Media Diversity Australia is trying to focus its 124 00:07:27,480 --> 00:07:30,360 Speaker 3: efforts in terms of the programs that we're delivering in 125 00:07:30,440 --> 00:07:36,800 Speaker 3: terms of scholarship opportunities, mentoring secondments, internships, fellowships, a whole 126 00:07:36,800 --> 00:07:39,880 Speaker 3: host of different programs in partnership with each of these 127 00:07:39,920 --> 00:07:43,440 Speaker 3: media companies as well to try and actually address those issues. 128 00:07:43,880 --> 00:07:47,360 Speaker 2: So it sounds like you're taking a very kind of 129 00:07:47,840 --> 00:07:52,920 Speaker 2: building up approach, kind of starting with scholarships etc. Down 130 00:07:52,960 --> 00:07:55,280 Speaker 2: the bottom of the tree. Do you think that there 131 00:07:55,280 --> 00:07:57,160 Speaker 2: needs to be a discussion about who's at the top of. 132 00:07:57,080 --> 00:08:01,640 Speaker 3: The tree though, definitely, and the research so unpacks each 133 00:08:01,720 --> 00:08:06,000 Speaker 3: one of the broadcasters boards makeup. We definitely highlight the 134 00:08:06,840 --> 00:08:12,440 Speaker 3: fact that cultural diversity impersonations representation is very poor, and 135 00:08:12,560 --> 00:08:15,679 Speaker 3: of course that has a trickle down impact. Who's calling 136 00:08:15,720 --> 00:08:18,480 Speaker 3: the shots at the top have implications for the way 137 00:08:18,640 --> 00:08:23,040 Speaker 3: that stories are framed, curated, how they presented, which perspectives 138 00:08:23,080 --> 00:08:27,600 Speaker 3: are included, which perspectives are excluded, and so the representation 139 00:08:28,240 --> 00:08:33,200 Speaker 3: provides diverse perspectives which can only have enrich the final 140 00:08:33,280 --> 00:08:34,560 Speaker 3: stories that go to air. 141 00:08:35,080 --> 00:08:37,920 Speaker 2: Let's have a chat about the relevance of television you 142 00:08:37,960 --> 00:08:41,440 Speaker 2: know where we serve an audience at Velios, which, largely 143 00:08:41,520 --> 00:08:43,880 Speaker 2: based on all the kind of research out there, doesn't 144 00:08:44,040 --> 00:08:48,080 Speaker 2: watch breakfast TV and is less inclined to watch even 145 00:08:48,120 --> 00:08:52,640 Speaker 2: primetime television at night. Do you see that as a 146 00:08:52,720 --> 00:08:56,040 Speaker 2: good thing, because perhaps they're getting more diverse faces on 147 00:08:56,120 --> 00:08:58,520 Speaker 2: social media or wherever else they get their news. Yeah. 148 00:08:58,559 --> 00:09:01,320 Speaker 3: I think that's a really good point and absolutely right. 149 00:09:01,800 --> 00:09:05,880 Speaker 3: You know, perhaps audiences are going to switch off, switch elsewhere, 150 00:09:06,360 --> 00:09:10,720 Speaker 3: look to alternatives to seek out those perspectives that speak 151 00:09:10,720 --> 00:09:14,880 Speaker 3: to them. There's this analogy about either agitate at the 152 00:09:14,960 --> 00:09:17,720 Speaker 3: table or go and start your own table. Right, there's 153 00:09:17,720 --> 00:09:19,520 Speaker 3: that analogy that we hear about, and if you think 154 00:09:19,520 --> 00:09:22,800 Speaker 3: about it in this context, I guess the point is, 155 00:09:23,080 --> 00:09:26,120 Speaker 3: you know, if everybody goes off and starts their own tables, 156 00:09:26,160 --> 00:09:27,160 Speaker 3: it just gets to the. 157 00:09:27,120 --> 00:09:28,960 Speaker 2: Point where it it's a very busy, right. 158 00:09:28,880 --> 00:09:30,880 Speaker 3: It gets it very exactly. But you do want to 159 00:09:31,000 --> 00:09:34,920 Speaker 3: ensure that that agitation at the table and the perhaps 160 00:09:34,960 --> 00:09:39,680 Speaker 3: the demanding of justice more broadly, is still done at 161 00:09:39,720 --> 00:09:42,400 Speaker 3: that table. It is unfair that people feel the need 162 00:09:42,440 --> 00:09:45,360 Speaker 3: to go and start their own tables. If there shouldn't 163 00:09:45,400 --> 00:09:48,760 Speaker 3: be that sense of exclusion to begin with. But I 164 00:09:48,800 --> 00:09:51,319 Speaker 3: think it also speaks to the issue of trust and use. 165 00:09:51,360 --> 00:09:55,280 Speaker 3: And the report actually highlights as a section that speaks 166 00:09:55,320 --> 00:09:58,040 Speaker 3: to audiences and ask them, you know, well, does it 167 00:09:58,120 --> 00:10:01,480 Speaker 3: actually matter, like do people care who's telling them the news, 168 00:10:01,760 --> 00:10:04,920 Speaker 3: whether it's on in style, whether it's on breakfast television. 169 00:10:05,440 --> 00:10:08,679 Speaker 3: And the interesting thing with the results of that survey 170 00:10:09,000 --> 00:10:12,720 Speaker 3: is that non European audiences, so like culturally diverse sort 171 00:10:12,720 --> 00:10:16,840 Speaker 3: of non white audiences, non European audiences do I actually 172 00:10:17,120 --> 00:10:20,080 Speaker 3: mention that they will switch off because they feel that 173 00:10:20,120 --> 00:10:23,120 Speaker 3: what they're consuming is perhaps biased. So I think it 174 00:10:23,160 --> 00:10:25,360 Speaker 3: does speak to the broader issue of trust and if 175 00:10:25,440 --> 00:10:28,320 Speaker 3: people are not trusting what they're seeing on their television screens, 176 00:10:28,320 --> 00:10:30,600 Speaker 3: they will switch off. They will switch elsewhere. They will 177 00:10:30,880 --> 00:10:33,920 Speaker 3: go to digital news, which which is far more representative. 178 00:10:34,400 --> 00:10:36,400 Speaker 2: We're going to take a short break, will be right 179 00:10:36,440 --> 00:10:40,360 Speaker 2: back quickly, And I wanted to give you a chance 180 00:10:40,360 --> 00:10:42,960 Speaker 2: to respond to some of the comments by the ABC's 181 00:10:43,040 --> 00:10:46,520 Speaker 2: head of Diversity Inclusion, and the general vibe of his 182 00:10:46,679 --> 00:10:49,880 Speaker 2: statement was that the report doesn't really scratch the surface 183 00:10:49,960 --> 00:10:52,960 Speaker 2: of who's behind the camera as well and the importance 184 00:10:53,000 --> 00:10:55,240 Speaker 2: of those roles. What do you have to say to 185 00:10:55,360 --> 00:10:56,400 Speaker 2: that response. 186 00:10:56,559 --> 00:11:00,760 Speaker 3: Yeah, we appreciate where Gavin Fang is me from in 187 00:11:00,840 --> 00:11:03,319 Speaker 3: terms of his commentary, and the point that we make 188 00:11:03,480 --> 00:11:06,160 Speaker 3: is we would love to expand the braw the remit 189 00:11:06,200 --> 00:11:09,240 Speaker 3: of this research. We simply don't have the funding. And 190 00:11:09,400 --> 00:11:12,280 Speaker 3: what this research I think has helped do in the 191 00:11:13,160 --> 00:11:16,959 Speaker 3: last version and this iteration is actually be a conversation starter. 192 00:11:17,320 --> 00:11:21,680 Speaker 3: It is not the final destination. It's not the answer. 193 00:11:21,840 --> 00:11:25,120 Speaker 3: It is a conversation starter. It is holding up a 194 00:11:25,120 --> 00:11:28,680 Speaker 3: mirror to the industry. Sometimes that's deeply uncomfortable. We totally 195 00:11:28,720 --> 00:11:33,240 Speaker 3: get that. But through that deep uncomfort comes change and 196 00:11:33,280 --> 00:11:36,000 Speaker 3: we hope to see progress. That's what MDA is here for, 197 00:11:36,120 --> 00:11:39,920 Speaker 3: right We're here to provide solutions, not just agitate for 198 00:11:40,000 --> 00:11:42,480 Speaker 3: change and hold up the mirror to but actually provide solutions, 199 00:11:42,480 --> 00:11:43,679 Speaker 3: and we certainly hope to do that. 200 00:11:43,800 --> 00:11:46,360 Speaker 2: I guess in the dream world there wouldn't be a 201 00:11:46,440 --> 00:11:50,160 Speaker 2: need for an MDA. There would be just the media industry. 202 00:11:50,360 --> 00:11:54,840 Speaker 3: That's exactly it. Yeah, our vision is to put ourselves 203 00:11:54,840 --> 00:11:55,800 Speaker 3: out of the job. Put it that way. 204 00:11:55,880 --> 00:11:57,880 Speaker 2: That's really interesting. Marian. Thank you so much for your time. 205 00:11:57,880 --> 00:11:59,080 Speaker 2: We really appreciate it. 206 00:11:59,080 --> 00:12:00,800 Speaker 3: It's a pleasure thanks how much, saying. 207 00:12:04,960 --> 00:12:07,199 Speaker 2: Thanks for joining us on the Daily OS this morning. 208 00:12:07,240 --> 00:12:09,599 Speaker 2: If you learn something from today's episode, don't forget to 209 00:12:09,640 --> 00:12:12,480 Speaker 2: hit subscribe so there's a TDA episode waiting for you 210 00:12:12,600 --> 00:12:15,959 Speaker 2: every weekday morning. We'll be back again tomorrow. Until then, 211 00:12:16,120 --> 00:12:22,400 Speaker 2: have a great day.