Project Ratio
“Fake news,” broadly defined as false or misleading information masquerading as legitimate news, is frequently asserted to be pervasive online with serious consequences for democracy. The rise of fake news highlights the erosion of long-standing institutional bulwarks against misinformation in the internet age. Particularly, since the 2016 US presidential election, the deliberate spread of misinformation on social media has generated extraordinary concern, in large part because of its potential effects on public opinion, political polarization, and ultimately democratic decision making. Inspired by “solution-oriented research”, the project Ratio aims to foster a news ecosystem and culture that values and promotes authenticity and truth.
However, proper understanding of misinformation and its effects requires a much broader view of the problem, encompassing biased and misleading–but not necessarily factually incorrect–information that is routinely produced or amplified by mainstream news organizations. Much remains unknown regarding the vulnerabilities of individuals, institutions, and society to manipulations by malicious actors. Project Ratio measures the origins, nature, and prevalence of misinformation, broadly construed, as well as its impact on democracy. We strive for objective and credible information, providing a first-of-its-kind at scale, real-time, cross-platform mapping of news content, as it moves through the “information funnel,” from news production, through distribution and discovery, consumption, and absorption.
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Before the 2016 Election
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After the 2016 election
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KEY RESEARCHERS
Duncan Watts
Stevens University Professor & twenty-third Penn Integrates Knowledge Professor
David Rothschild
Research Scientist @ Microsoft
Homa Hosseinmardi
Research Scientist
PUBLICATIONS
Rebuilding legitimacy in a post-truth age
Duncan J. Watts and David Rothschild.
The current state of public and political discourse is in disarray. Outright fake news stories circulate on social media. The result has been a called a post-truth age, in which evidence, scientific understanding, or even just logical consistency have become increasingly irrelevant to political argumentation.
Don’t blame the election on fake news. Blame it on the media.
Duncan J. Watts and David Rothschild.
Since the 2016 presidential election, an increasingly familiar narrative has emerged concerning the unexpected victory of Donald Trump. Fake news, was amplified on social networks. We believe that the volume of reporting around fake news, and the role of tech companies in disseminating those falsehoods, is both disproportionate to its likely influence in the outcome of the election and diverts attention from the culpability of the mainstream media itself.
The science of fake news
David M. J. Lazer, Matthew A. Baum, Yochai Benkler, Adam J. Berinsky, Kelly M. Greenhill, Filippo Menczer, Miriam J. Metzger, Brendan Nyhan, Gordon Pennycook, David Rothschild, Michael Schudson, Steven A. Sloman, Cass R. Sunstein, Emily A. Thorson, Duncan J. Watts and Jonathan L. Zittrain.
The rise of fake news highlights the erosion of long-standing institutional bulwarks against misinformation in the internet age. We discuss extant social and computer science research regarding belief in fake news and the mechanisms by which it spreads.
DATA
DATA OVERVIEW
The burgeoning and rise of big data results in salience of the quantity of data, nourishing the soil for qualitative research and analysis, addressing social, economic, cultural and ethical implications and issues of social science. Converging computer science and social science, the project Ratio suggests use-inspired intellectual research style and data-driven methodological directions for computational social science, yielding a diversity of perspectives on explanation, understanding, and prediction of information flow and impact. Collaborating with various data providers, currently including Nielsen, PeakMetric, TVEyes and Harmony Labs, we seek to establish a large-scale data infrastructure for studying the production, distribution, consumption, absorption in the information ecosystem, illuminating each aspect of research on “fake news” in-depth and in-width.
Applications open: Penn Summer Institute in Computational Social Science
The Penn Summer Institute in Computational Social Science (SICSS-Penn) is open for applications! SICSS-Penn will bring together early-career researchers and provide opportunities for networking with Computational Social Science colleagues, interdisciplinary research collaborations, and guest lectures.
Preparing student RAs for success on the tech job market
How does working at the CSSLab impact student researchers’ career goals and experiences on the job market? We asked two of the Lab’s graduate student research assistants, Keith Golden and Kailun Li, about their experiences at various stages of their job searches.
Researcher spotlight: Mark Whiting
Spearheading the CSSLab’s work on high-throughput virtual lab experiments on group dynamics, Mark Whiting is helping to define the paradigm of large-scale, data-driven social science research. In this researcher spotlight, he outlines his research trajectory and thoughts on the future of CSS.
Empirica Stories: Using online multiplayer experiments to study team hierarchy
Originally published on the Empirica blogWelcome to “Empirica Stories”, a series in which we...
From the Executive Corner: CSSLab’s One-Year Retrospective
On March 10th, the CSSLab celebrated one year of working to define the new field of computational...
Want to reduce political polarization? Start by looking beyond politics
PHILADELPHIA, January 20, 2022 — Is bonding over non-political similarities the key to...
How biased narratives impact our judgment — even when we’re aware of it happening
PHILADELPHIA, January 11, 2022 — Does explicitly acknowledging bias make us less likely to make...
Call for Abstracts for IC²S² 2022
The 8th International Conference on Computational Social Science (IC²S²) solicits submissions of...
What Big Data Reveals About Online Extremism
Originally published by the Annenberg School for Communication PHILADELPHIA, November 22, 2021 —...
Researcher spotlight: Homa Hosseinmardi
As the lead researcher on the Penn Media Accountability Project (PennMAP), Homa Hosseinmardi...