TikTok’s Confidence-Destroying Bold Glamour Filter is the Logical Product of Platforms Built for Consumerism

Rachel Griffin (@rachel_grfn) sees the beauty filter as the obvious endpoint of the underlying structural dynamics of the social media industry.
With reference to @KathyCastorFL's comments in yesterday's #TikTok hearing in the House Energy & Commerce Committee:
"...criticizing TikTok as irresponsible or calling for it to add labels to videos where a filter is used – essentially suggesting that properly-informed users should be capable of resisting the unattainable beauty ideals they’re bombarded with – misses the bigger picture."
"For as long as social media are built for marketing and e-commerce, they will promote exclusionary beauty standards, reductive gender stereotypes and shallow, consumerist attitudes."
With reference to work by @random_walker, @TateRyMo, @rebexxxxa, @OrbenAmy, Memo Atken, Sophie Bishop et al.

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More from @justinhendrix

Mar 13
1/ I'm sympathetic to some of the angles on this issue that @jawillick explores here; yet I think talking about misinformation as a singular concept can be misleading. There are forms of mis- and disinformation that are very dangerous...
2/ Is the concern over these issues out of whack with the threat, writ large? Probably. But when you zoom in to particular phenomena, there is plenty to worry about. We have real examples to point to in this country and many others of mis- and disinformation leading to harms.
3/ Better to consider these issues through the lens of power, and to look at how the deliberate deployment of mis- and disinformation serves those in power and those that seek it. There is a lot of work to do to improve democracy; information integrity is only one lane.
Read 5 tweets
Mar 11
Posts by Ackman, et al may be scare mongering towards a bail out?
If all the Silicon Valley gamblers say it at once, it must be true, @JamesSurowiecki. (Looking forward to less... interested perspectives.)
Read 5 tweets
Mar 8
1/ I've covered January 6 fairly closely, including helping with the @just_security January 6 Clearinghouse. I've read thousands of pages of documents and watched dozens if not hundreds of hours of footage from that day and the events that led up to it. justsecurity.org/77022/january-…
2/ I've paid close attention to the dynamics in the media and social media ecosystem as they relate to January 6, writing about related research and producing information and reporting on the subject. While what Fox News and others on the right are doing is abhorrent ...
3/ In many ways it is just more of the same. Public perception of January 6 has remained remarkably static since it happened. If you participate in or largely consume a media diet from the MAGA cinematic universe, you've been exposed to these ideas for more than two years.
Read 8 tweets
Mar 4
Of Legislators and Large Language Models

For this episode of the @techpolicypress podcast, I spoke with individuals exploring how tools such as OpenAI’s ChatGPT change our politics, including:
@kadiagoba, @Mlsif, @ZacharyGraves and @marcidale:
Background reading #1: @kadiagoba
in @semafor on the House AI caucus and her recent conversations with members including @RepDonBeyer, Rep. @JayObernolte et al;
Background reading #2: @Mlsif on How ChatGPT-3 Will Transform Politics (Probably For the Worse) theconnector.substack.com/p/how-chatgpt-…
Read 4 tweets
Mar 3
Stopping Bluetooth Location Trackers From Becoming People Trackers

1/ @CenDemTech's Andrew Crawford and @nnedv's Erica Olsen call out four steps to protect our civil rights and liberties from invasive abuses of location trackers such as Air Tags:
@CenDemTech @nnedv 2/ First, manufacturers should work in partnership with mobile phone OS developers to ensure that their tracking devices are discoverable. techpolicy.press/stopping-bluet…
3/ Second, companies should provide meaningful, actionable, and shareable information to people who are being tracked. techpolicy.press/stopping-bluet…
Read 5 tweets
Mar 3
A new study of images collected from Facebook pages and groups in the runup to the 2020 US election finds widespread visual misinformation that is highly asymmetric across party lines, with right-leaning images 5X to 8X times more likely to be misleading.
The study by @TAMUComm's @yangyunkang, @GWIDDP's @MattHindman and @TowCenter"s Trevor Davis (@counteraction) analyzed nearly 14 million posts from more than 14,000 pages and 11,000 public groups from August through October 2020. techpolicy.press/on-facebook-vi…
They discovered a disproportionate number of political image posts that direct hate towards groups such as women and racial minorities. “Democratic female public figures—especially those of color—seem particularly likely to be targeted for abuse." techpolicy.press/on-facebook-vi…
Read 4 tweets

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