AI and Twitter could help predict opioid deaths

A new approach that uses artificial intelligence and Twitter language predicts opioid death rates much more accurately than current methods.

Gregory Filiano-Stony Brook • futurity
March 23, 2023 ~6 min

2016 election Russian disinformation mainly reached Republicans

New research finds that Russian disinformation on Twitter during the 2016 election primarily reached a small subset of users.

James Devitt-NYU • futurity
Jan. 10, 2023 ~6 min


Tweets could track the spread of invasive insects

Twitter and online news articles could help track the timing and location of spreading invasive insects in the US and around the world.

Laura Oleniacz - NC State • futurity
Jan. 4, 2023 ~6 min

Climate change tweets declined as COVID worries rose

Can a global problem like COVID lead to less concern for other problems like climate change? A look at Twitter suggests the answer is yes.

Gregory Filiano-Stony Brook • futurity
Oct. 21, 2022 ~5 min

Podcast: What will ‘free speech’ mean on Elon Musk’s Twitter?

Elon Musk's purchase of Twitter has led to a lot of questions. Here, a legal expert digs into the controversies and human rights in online speech.

UC Irvine • futurity
May 3, 2022 ~3 min

To counter hate speech, push for empathy?

"Counterspeech" is one option for fighting hate speech online. Of three versions, inducing empathy seems to work best, say researchers.

ETH Zurich • futurity
Dec. 8, 2021 ~6 min

To counter hate speech, push for empathy?

"Counterspeech" is one option for fighting hate speech online. Of three versions, inducing empathy seems to work best, say researchers.

ETH Zurich • futurity
Dec. 8, 2021 ~6 min

Should Twitter politely warn users not to tweet hate speech?

Politely worded reminders that there may be consequences to posting hate speech on Twitter may temporarily reduce hateful language on the platform.

James Devitt-NYU • futurity
Nov. 23, 2021 ~6 min


Political bias on Twitter comes from users, not the platform

"We found no evidence of intentional interference by the platform. Instead, bias can be explained by the use, and abuse, of the platform by its users."

Kevin Fryling-Indiana • futurity
Oct. 4, 2021 ~6 min

Likes and shares train you to get angry online

"This is the first evidence that some people learn to express more outrage over time because they are rewarded by the basic design of social media."

Bill Hathaway-Yale • futurity
Aug. 16, 2021 ~6 min

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