Misinfo Belief Frames: A Case Study on Covid Climate News

04/18/2021
by   Saadia Gabriel, et al.
0

Prior beliefs of readers impact the way in which they project meaning onto news headlines. These beliefs can influence their perception of news reliability, as well as their reaction to news, and their likelihood of spreading the misinformation through social networks. However, most prior work focuses on fact-checking veracity of news or stylometry rather than measuring impact of misinformation. We propose Misinfo Belief Frames, a formalism for understanding how readers perceive the reliability of news and the impact of misinformation. We also introduce the Misinfo Belief Frames (MBF) corpus, a dataset of 66k inferences over 23.5k headlines. Misinformation frames use commonsense reasoning to uncover implications of real and fake news headlines focused on global crises: the Covid-19 pandemic and climate change. Our results using large-scale language modeling to predict misinformation frames show that machine-generated inferences can influence readers' trust in news headlines (readers' trust in news headlines was affected in 29.3 demonstrates the potential effectiveness of using generated frames to counter misinformation.

READ FULL TEXT

page 1

page 2

page 3

page 4

09/28/2021

Spreading of fake news, competence, and learning: kinetic modeling and numerical approximation

The rise of social networks as the primary means of communication in alm...
04/01/2022

Evaluation of Fake News Detection with Knowledge-Enhanced Language Models

Recent advances in fake news detection have exploited the success of lar...
08/05/2020

How Fake News Affect Trust in the Output of a Machine Learning System for News Curation

People are increasingly consuming news curated by machine learning (ML) ...
10/18/2019

Towards Computing Inferences from English News Headlines

Newspapers are a popular form of written discourse, read by many people,...
02/10/2019

Identifying Fake News from Twitter Sharing Data: A Large-Scale Study

Social networks offer a ready channel for fake and misleading news to sp...
10/25/2021

No News is Good News: A Critique of the One Billion Word Benchmark

The One Billion Word Benchmark is a dataset derived from the WMT 2011 Ne...
11/10/2019

Social Bias Frames: Reasoning about Social and Power Implications of Language

Language has the power to reinforce stereotypes and project social biase...