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Tumblr. Crystal AbidinЧитать онлайн книгу.

Tumblr - Crystal Abidin


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on insufficient datasets, using inaccurate platform models or weak classifiers; further, tumblr’s new, black box algorithms were presumed to have identified patterns between objects in images that the developers did not teach it to identify, which led it to mistakenly flag content (Matsakis 2018). This led to users speculating and experimenting with various visual-aesthetic and discursive-logistic workarounds for circumventing tumblr’s image recognition algorithm. A networked and loosely shared pool of algorithmic imaginaries and hacks emerged, where, in order to hide from the algorithmic gaze, bloggers would take sexy selfies in flesh-colored silk stockings or bodysuits, cover nipples with stickers or digital special effects (Figure 1.5), and superimpose text or QR codes onto the images.

      Figure 1.5: Artist’s impression of how some tumblr users are using emoji to cover nipples and circumvent flagging, while still being able to share nudes. Art provided by River Juno.

      Conclusion

       1 Although the informal protocol of retweeting also dates back to March 2007, Twitter officially incorporated it as a feature in 2009. 2 tumblr changed the formatting of reblog threads to flat in 2015, this was done to increase legibility, but generated user pushback as it dismantled a by-then iconic genre of a nested reblog threads, which features in memes about tumblr (see Figure 1.3). 3 Just as we were finalizing this book, (former) US President Donald Trump – reacting to Twitter appending a fact-checking notice to his tweets – signed an Executive Order requiring the US Federal Communication Commission to revise CDA 230 so that “editing content” would lead to the platform forfeiting the safe harbor protection. 4 Why this is still mentioned is unclear, given that all explicit content is hidden from everyone. 5 This example returns the general PSA for the US, UK, and European contexts. The same message is returned when searching similar terms are located in other countries such as Australia. 6 However, it has also been argued that NSFW content is easier to train deep learning models on than extremism or disinformation (Dickson 2018), which is why it is more heavily regulated. 7 While the acronym NSFW is broadly interpreted as coming from “Not Safe For Work,” tumblr has consistently used “Not Suitable For Work” in their Community Guidelines (both the 2012 and 2015 updates use that wording). 8 While the goal of FOSTA/SESTA is admirable, the vague language drove many internet platforms to pre-emptive overreach best described as deplatforming of sex (Molldrem 2018). 9 This may very well be true, but for context, we have spent more than ten years on tumblr, including regularly browsing sexual blogs, and have never seen child pornography.10 We briefly discuss this in Chapter 5, but on May 4, 2020 a post was made on the staff blog which indicated that tumblr was adopting a stronger stance against Nazi hate speech (staff 2020b). Since the “Nazis vs nipples” juxtaposition was a common rhetorical and memetic move in responses to the NSFW ban, it is possible that the feedback to the ban informed this change.11 Bots are automated scripts designed to perform a task with little oversight from humans (Shorey and Howard, 2016), in discussions around social media, we usually talk about socialbots, which are automated scripts controlling social media accounts to post and send connection requests (Boshmaf et al. 2011). Pornbots are socialbots that operate with pornographic content to grab attention.

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