Media bias in presidential elections: a meta‐analysis

By Dave D'Alessio, Mike Allen. 2000

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Citations in the corpus

Fair and Balanced? Quantifying Media Bias through Crowdsourced Content Analysis (2016, background): “There is, however, considerable disagreement over the magnitude of these differences (D’Alessio and Allen, 2000), in large part due to the difficulty of quantitatively analyzing the hundreds of thousands of articles that major news outlets publish each year.”
The Impact of Individual and Interpersonal Factors on Perceived News Media Bias (2003, background): “, partisans) than among those who were neutral (see also Dalton et al., 1998). More recent research has generally supported what Vallone et al. (1985) labeled the “hostile-media phenomenon.”
Negativity in political news: A review of concepts, operationalizations and key findings (2012, background): “However, most research fails to provide comprehensive definitional explanations (see D’Alessio and Allen, 2000).”
A Transformer-based Framework for Neutralizing and Reversing the Political Polarity of News Articles (2021, background): “Early-stage work in this area mainly relies on human annotators [14, 25], where linguistic features are demonstrated to play a crucial role on how humans judge polarity.”
Confirmation Bias, Ingroup Bias, and Negativity Bias in Selective Exposure to Political Information (2020, background): “Biases in political media coverage have long raised concerns among scholars (e.g., D’Alessio & Allen, 2000), but media users play a pivotal role in creating their own potentially biased information environment by selectively attending political messages.”
“You Are Grounded!”: Latent Name Artifacts in Pre-trained Language Models (2020, background): “Web corpora specifically likely suffer from media bias, making some entities more visible than others (coverage bias; D’Alessio and Allen, 2006), sometimes due to “newsworthiness” (structural bias; van Dalen, 2012).”
Social media news communities: gatekeeping, coverage, and statement bias (2013, background): “There are at least two ways in which these communities can be understood.”