The Socially Embedded Lab at Ben-Gurion University studies social behavior in large-scale, online information systems. The lab investigates areas where information systems are suboptimal for people -- for example, by not meeting people's needs, goals or expectations -- and proposes new computational measures to bridge the gaps. For example, it studies the scale and scope of fake news on social media and develops methods for limiting its spread, audits large-scale algorithmic systems such as Google Search and Gmail to reduce bias and inequality, and examines online user engagement with news in order to promote better measures for quantifying it. The lab is part of the Software and Information Systems Engineering (SISE) department at BGU.
Jennifer Oser (BGU) and Nir Grinberg win DSRC's Young grant to study exposure to political content on social media.
Roei Davidson (HaifaU) and Nir Grinberg are awarded a 3-year grant from Israel's Ministry of Science and Technology to study the behavioral and psychological effects of AI-mediated communication.
Multilingual Detection of Personal Employment Status on Twitter,
Manuel Tonneau, Dhaval Adjodah, João Palotti, Nir Grinberg, and Samuel Fraiberger.
pdf | code
Pandemics, Protests, and Publics: Demographic Activity and Engagement on Twitter in 2020,
Sarah Shugars, Adina Gitomer, Stefan McCabe, Ryan J. Gallagher, Kenneth Joseph, Nir Grinberg, Larissa Doroshenko, Brooke Foucault Welles, and David Lazer.
Journal of Quantitative Description: Digital Media 1, 2021.
pdf | code
The COVID States Project #18: Fake News on Twitter,
David Lazer, Damian J. Ruck, Alexi Quintana, Sarah Shugars, Kenneth Joseph, Nir Grinberg, Ryan J. Gallagher, Luke Horgan, Adina Gitomer, Aleszu Bajak, Matthew A. Baum, Katherine Ognyanova, Hong Qu, William R. Hobbs, Stefan McCabe, and Jon Green.
OSF Preprints 2021.
pdf | demo
New Frontiers for Fake News Research on Social Media in 2021 and Beyond,
MISINFO workshop at the Web Conference 2021.
pdf | workshop
Tackling misinformation: What researchers could do with social media data,
Irene Pasquetto, Briony Swire-Thompson, Michelle A. Amazeen, Fabrício Benevenuto, Nadia M. Brashier, Robert M. Bond, Nir Grinberg et al.
Harvard Kennedy School Misinformation Review 1, no. 8, 2020.
Fake News on Twitter During the 2016 U.S. Presidential Election,
Nir Grinberg, Kenneth Joseph, Lisa Friedland, Briony Swire-Thompson, and David Lazer.
Science, Vol 363, Issue 6425, pp. 374-378, 2019.
pdf | supplementary | data | code
Identifying Modes of User Engagement with Online News and Their Relationship to Information Gain in Text,
The Web Conference (WWW) 2018.
pdf | code
Reports of the workshops held at the 2016 International AAAI Conference on Web and Social Media,
Jisun An, Ciampaglia, Giovanni Luca, Nir Grinberg, Kenneth Joseph, Alexios Mantzarlis, Gregory Maus, Filippo Menczer, Nicholas Proferes, and Brooke Foucault Welles.
AI Magazine 38, no. 4, pp 93-98, 2017.
Combating fake news: An agenda for research and action,
David Lazer, Matt Baum, Nir Grinberg, Lisa Friedland, Kenneth Joseph, Will Hobbs, and Carolina Mattsson.
Harvard Kennedy School, Shorenstein Center on Media, Politics and Public Policy 2, 2017.
Changes in Engagement Before and After Posting to Facebook,
Nir Grinberg, P. Alex Dow, Lada A. Adamic, and Mor Naaman.
CHI 2016. Honorable Mention
Extracting Diurnal Patterns of Real World Activity from Social Media,
Nir Grinberg, Mor Naaman, Blake Shaw, and Gilad Lotan.
pdf | slides
Robust Detection of Hyper-local Events from Geotagged Social Media Data,
Ke Xie, Chaolun Xia, Nir Grinberg, Raz Schwartz, and Mor Naaman.
Still haven't found what you're looking for? Feel free to get in touch with any lab member for further questions and suggestions.
Looking to join the lab? Please contact Nir AFTER you've read some of our papers. Don't forget to attach your CV and transcripts, and make sure to specify at least one research direction that excites you and any special skills that set you apart.