jeff hancock
@jeffhancock
Professor
ID:34991375
https://sternspeakers.com/speakers/jeff-hancock/ 24-04-2009 18:00:50
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Work with faculty including Angèle Christin (Communication), Jeanne Tsai (Psych), jeff hancock (Communication), Johan Ugander (MS&E), myself, Nate Persily (Law), Robb Willer (Sociology, Psychology, Business), and Tatsunori Hashimoto. Postdocs get joint mentorship by a pair of faculty.
Can we design AI systems to consider democratic values as their objective functions? Our new #CSCW24 paper w/ Michelle Lam, Minh Chau Mai, jeff hancock, Michael Bernstein introduces a method for translating social science constructs into social media AIs arxiv.org/abs/2307.13912 (1/12)
🚨New from me Deepak Kumar Durumeric jeff hancock. We use web-browsing data (N = 21M) to quantify the (in)accessibility of misinformation and news visits, finding that conservative misinformation is most likely to be inaccessible to researchers via scraping doi.org/10.1177/089443…
💡 New Publication in J Children and Media: 💡
In this paper, we present the development and validation of the Youth Social Media Literacy Inventory (YSMLI), a 90 item bank that allows to create scales of various lengths and for different purposes.
(1/12)
Tomorrow at noon Pacific, join jeff hancock in conversation with Nate Persily, for a discussion on the implications of AI advancements on trust in human interactions.
Free, with zoom session open to the public: cyber.fsi.stanford.edu/events/generat…
Tuesday, April 25, jeff hancock talks with Michal Kosinski about research suggesting that ToM-like ability (thus far considered to be uniquely human) may have emerged in Large Language Models, as a byproduct of their improving language skills.
🔗cyber.fsi.stanford.edu/events/theory-…
My first ever publication is finally out! This project with @RyanMooreComm and jeff hancock began before I even started grad school.
During the 2020 election, compared to 2016, we find that misinformation website exposure and engagement is down
nature.com/articles/s4156…
As the use of AI-generated text increases, Prof. jeff hancock and Stanford HAI scholars propose solutions—watermarks, accents, and self-disclosing machines—to combat deception and misinformation. stanford.io/42mmU98
Our statement (co-authors: Maurice Jakesch jeff hancock) reflects the fact that not only AI can learn to write like a human; it could be *better* than humans... in learning what makes people *think* something is human. 3/
AI or human? Assumptions regarding language usage can lead to flawed judgments of whether language was AI- or human-generated, Cornell Tech and Stanford University researchers found in a series of experiments. Mor Naaman (@[email protected]) jeff hancock PNASNews news.cornell.edu/stories/2023/0…
🗓️ We're excited to announce dates for the 2nd annual Trust & Safety Research Conference: September 28-29, 2023, at Stanford.
Application to present & registration info coming soon. The fall issue of Journal of Online Trust and Safety will be the conference proceedings.
cyber.fsi.stanford.edu/io/news/trust-…
Big announcement— Yale University's FREE new happiness course for teenagers is finally here! The Science of Well-being for Teens is a 6-wk course on Coursera designed to give teens science-based strategies for reducing stress/feeling happier. Please RT & share: coursera.org/learn/the-scie…