Media Bias in the Marketplace

Gentzkow, Matthew; Shapiro, Jesse M.; Stone, Daniel

doi:10.1016/b978-0-444-63685-0.00014-0

Cited by 83 publications

(49 citation statements)

References 34 publications

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“…Importantly, our measure opens the door to answering key questions in the social sciences. We envision that this measure can be particularly useful for studying the supply side of media environment—ranging from the dynamics of market competition to the ownership change to business pressures or consumer boycotts—as well as understanding the demand side of of media bias ( 11 , 12 ). For instance, to what extent is media bias driven by audience ratings?…”

Section: Discussionmentioning

confidence: 99%

Measuring dynamic media bias

Kim

Lelkes

McCrain

2022

Proc. Natl. Acad. Sci. U.S.A.

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Ideological media bias is increasingly central to the study of politics. Yet, past literature often assumes that the ideological bias of any outlet, at least in the short term, is static and exogenous to the political process. We challenge this assumption. We use longitudinal data from the Stanford Cable News Analyzer (2010 to 2021), which reports the screen time of various political actors on cable news, and quantify the partisan leaning of those actors using their past campaign donation behavior. Using one instantiation of media bias—the mean ideology of political actors on a channel, i.e., visibility bias—we examine weekly, within-day, and program-level estimates of media bias. We find that media bias is highly dynamic even in the short term and that the heightened polarization between TV channels over time was mostly driven by the prime-time shows.

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Section: Discussionmentioning

confidence: 99%

Measuring dynamic media bias

Kim

Lelkes

McCrain

2022

Proc. Natl. Acad. Sci. U.S.A.

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“…Mass media typically claim themselves as objective information channels. However, literature has shown that mass media may have a bias (Gentzkow et al, 2015;Puglisi & Snyder Jr, 2015). This also holds in the stock market, often considered a utilitarian setting and less subject to any media bias (Tetlock, 2007(Tetlock, , 2015.…”

Section: Media Biasesmentioning

confidence: 99%

How does social media sentiment impact mass media sentiment? A study of news in the financial markets

Ren

Dong

Padmanabhan

et al. 2021

Asso for Info Science & Tech

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Mass media sentiment of financial news significantly influences investment decisions of investors. Hence, studying how this sentiment emerges is important. In years past, this was straightforward, often dictated by journalists who cover financial news, but this has become more complex now. In this paper, we focus on how social media sentiment affects mass media sentiment. Using data from Sina Weibo and Sina Finance (around 60 million weibos and 6.2 million news articles), we show that social media does influence mass media sentiment emergence for financial news. The sentiment consistency between social media reaction and prior news articles amplifies the persistence of mass media sentiment over time. By contrast, we found limited evidence of social media reducing the persistence of mass media sentiment over time. The results have significant implications for understanding how 2 types of media, treated separately in the literature, may be connected.

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“…This definition includes news articles that are deliberately created, as well as from articles derived from satirical sites but can be misunderstood as facts, especially if viewed separately on the news originating from Twitter or Facebook feeds. Some definitions of false news: 1) unintentional reporting errors; 2) rumors that do not come from specific news articles that have authority; 3) conspiracy theories (these, by definition, are difficult to verify as true or false, and they usually come from people who believe they are right); 4) satire that cannot be misunderstood as fact; 5) false statements by politicians; and 6) reporting that appears or is misleading but not entirely wrong [15].…”

Section: A Intention To Spread Fake News and Engagementmentioning

confidence: 99%

Engagement and the spread of fake news: Personality Trait as moderator

Gumelar¹,

Akbar²,

Erik³

2018

Proceedings of the International Conference of Communication Science Research (ICCSR 2018)

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The speed of news is no longer limited. Distance and time limits do not become an obstacle in the rate of news spread. Even though the access to the information, nowadays is more accessible and fast, but there are also many another adverse offer, such as spreading rumors and fake news. Individual engagement with high intensity and have personal meaning with their social media platform could meet their need to contribute, retrieve and explore the news content and also have tendencies to spread the fake news. Previous studies have shown that personality traits play a significant role in human behavior. This study aims to investigate the roles of personality in engagement and spreading fake news behavior. Furthermore, The purpose of this study is to offer a theoretical and empirical background to explain the psychological aspects of the issue of spreading the fake news. This study conceptualizes false news as a distorted signal inconsistent with the truth. Result of this study show that personality traits with extraversion characteristic moderate personal engagement to intention for spread fake news exposures.

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Media Bias in the Marketplace

Cited by 83 publications

References 34 publications

Measuring dynamic media bias

Measuring dynamic media bias

How does social media sentiment impact mass media sentiment? A study of news in the financial markets

Engagement and the spread of fake news: Personality Trait as moderator

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