
Aisvarya (Aishi) Chandrasekar
@aisvarya17
I recently joined the @towcenter as a Computational Journalist, studying the impact of AI tools in journalism.
ID: 1311134835654701057
https://aisvaryachandrasekar.work/ 30-09-2020 02:44:48
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New sound story! How informal street vendors define the sonic landscape of Mexicoโs capital this project is truly incredible by Michelle Pera-McGhee @erinreiss pudding.cool/2022/09/cdmx/



For CJRโs new issue, Aisvarya (Aishi) Chandrasekar and Dhrumil Mehta scoured the transcripts of cable networks. "Covering Trump with fascism in mind has become increasingly common," they found. "Networks are now, as never before, focused on this angle of the Trump story.โ cjr.org/data/fascism-cโฆ

I have a new piece out with Aisvarya (Aishi) Chandrasekar in Columbia Journalism Review Tow Center in which we test how OpenAI's new search feature surfaces and attributes news content. Our findings were not promising for news publishers (1/9) cjr.org/tow_center/howโฆ

Tow Center analysis finds that publishers face the risk of their content being misattributed or misrepresented regardless of whether or not they allow OpenAIโs crawlers. Aisvarya (Aishi) Chandrasekar klaudia jaลบwiลska cjr.org/tow_center/howโฆ

New from Tow: AI tools are generating ultra-realistic customized podcasts that can be used for a variety of legitimate purposes. The Tow Center tests how they can also create misleading content and propaganda. Stuart Anderson-Davis cjr.org/tow_center/ploโฆ

Tow researchers klaudia jaลบwiลska & Aisvarya (Aishi) Chandrasekar tested Grok-3's ability to identify quotes from news publishers. Out of the 200 quotes tested, 102 returned hallucinated citations and the original source article was correctly cited only nine times. cjr.org/the_media_todaโฆ

NEW: klaudia jaลบwiลska and Aisvarya (Aishi) Chandrasekar ran 1600 queries across eight generative AI search tools to see how they cite news content. They all did pretty poorly. Columbia Journalism Review Columbia Journalism School cjr.org/tow_center/we-โฆ

