"It's Not Just Hate'': A Multi-Dimensional Perspective on Detecting Harmful Speech Online
Well-annotated data is a prerequisite for good Natural Language Processing models.
Journal Articles & Working Papers
Behavior change apps have the potential to provide individual support on a population scale at low cost, but they face numerous barriers to implementation.
Although experiments show that exposure to factual information can increase factual accuracy, the public remains stubbornly misinformed about many issues.
Correcting COVID-19 Vaccine Misinformation in Ten Countries
What can be done to reduce misperceptions about COVID-19 vaccines?
The anti-vaccination movement, fueled by a mass of unsubstantiated, misleading, and manipulated messages, has reemerged in recent years.
Evaluating the Efficacy of Facebook's Vaccine Misinformation Content Removal Policies
Social media platforms have attempted to remove misinformation about vaccines because it obstructs efforts to end the COVID-19 pandemic.
This study constructed a social network of Instagram users who posted IQOS content, a leading HTP brand, between 1 January and 5 April 2021 and identified users who positioned near the center of the...
Political Misinformation and Factual Corrections on the Facebook News Feed: Experimental Evidence
As concerns about the spread of political misinformation have mounted, scholars have found that fact-checks can reduce the extent to which people believe misinformation.
The COVID-19 pandemic brought widespread attention to an “infodemic” of potential health misinformation.
Do Local Newspapers Mitigate the Effects of the Polarized National Rhetoric on COVID-19?
This analysis tests two distinct predictions regarding local newspapers’ coverage of the COVID-19 pandemic in the United States.