SohanDsouza
〝These websites typically have generic names, such as iBusiness Day, Ireland Top News, and Daily Time Update, which to a consumer appear to be established news sites.〞 #generativeAI #AI #news #media newsguardtech.com/special-reports/ai-tracking-center/...
0
0
1

〝[...] large, multilingual astroturfing effort around #Cop28 on Twitter right now involving at least 100 fake accounts [...] promoting UAE foreign policy, bashing UAE's enemies, and burnishing the UAE's environmental record〞 #astroturfing #UAE #MDM marcowenjones.substack.com/p/how-many-fake-accounts-are-engaged...
1
0
1

SohanDsouza
theguardian.com/environment/2023/jun/08/army-of-fake-social-media-accounts-defend-uae-presidency-of-climate-summit...
0
0
1


SohanDsouza
"In a multi-member district system with ranked ballots, change on Boston’s city council composition would be highly responsive but smooth [...]" #Boston #MassPoli #rankedChoiceVoting #multiMemberDistricts #politics #elections rankthevote.us/for-a-stronger-city-let-every-boston-voter-draw-their-own-lines/...
0
0
1


〝[…] our results suggest that the algorithm may contribute to affective polarization not by limiting exposure to the other side, but rather by selectively highlighting divisive tweets.〞 #polarization #research #preprint #socialMedia #Twitter arxiv.org/abs/2305.16941...
Twitter's Algorithm: Amplifying Anger, Animosity, and Affective Polarization
arxiv.org
As social media continues to have a significant influence on public opinion, understanding the impact of the machine learning algorithms that filter and curate content is crucial. However, existing studies have yielded inconsistent results, potentially due to limitations such as reliance on observational methods, use of simulated rather than real users, restriction to specific types of content, or internal access requirements that may create conflicts of interest. To overcome these issues, we conducted a pre-registered controlled experiment on Twitter's algorithm without internal access. The key to our design was to, for a large group of active Twitter users, simultaneously collect (a) the tweets the personalized algorithm shows, and (b) the tweets the user would have seen if they were just shown the latest tweets from people they follow; we then surveyed users about both sets of tweets in a random order. Our results indicate that the algorithm amplifies emotional content, and especially those tweets that express anger and out-group animosity. Furthermore, political tweets from the algorithm lead readers to perceive their political in-group more positively and their political out-group more negatively. Interestingly, while readers generally say they prefer tweets curated by the algorithm, they are less likely to prefer algorithm-selected political tweets. Overall, our study provides important insights into the impact of social media ranking algorithms, with implications for shaping public discourse and democratic engagement.
1
0
1


SohanDsouza
〝One blue tick account that shared the fake image on Monday was named Bloomberg Feed and used the business and marketing logo of the news site Bloomberg〞 #misinformation #MDM #blueCheck #Twitter #fakeNews #America #TwitterBlue logicallyfacts.com/en/article/ai-fakes-and-paid-twitter-verification...
0
0
1

SohanDsouza
〝Organic Life Start, an online baby-formula retailer, says it will reduce order fulfillment time from 24 to 12 hours if a customer leaves a tip of 5% to 15% while checking out.〞 Then just call it an expedited service fee, FFS! 🤬 wsj.com/articles/why-tipping-prompts-are-suddenly-everywhere-1c8bbd20...
0
0
1

SohanDsouza
It's been less than a week, and the "Target's tuck-friendly onesies for toddlers" myth has already become unshakeable canon on the Right. #disinformation #politics #polarization #socialMedia #factCheck apnews.com/article/fact-check-target-swimsuits-transgender-pride-collection-892500330955...
0
0
1