Published April 30, 2021 | Version v1
Conference paper Open

Do You Think It's Biased? How To Ask For The Perception Of Media Bias

  • 1. University of Konstanz
  • 2. University of Wuppertal

Description

Media coverage possesses a substantial effect on the public perception of events. The way media frames events can significantly alter the beliefs and perceptions of our society. Nevertheless, nearly all media outlets are known to report news in a biased way. While such bias can be introduced by altering the word choice or omitting information, the perception of bias also varies largely depending on a reader's personal background. Therefore, media bias is a very complex construct to identify and analyze. Even though media bias has been the subject of many studies, previous assessment strategies are oversimplified, lack overlap and empirical evaluation. Thus, this study aims to develop a scale that can be used as a reliable standard to evaluate article bias. To name an example: Intending to measure bias in a news article, should we ask, "How biased is the article?" or should we instead ask, "How did the article treat the American president?". We conducted a literature search to find 824 relevant questions about text perception in previous research on the topic. In a multi-iterative process, we summarized and condensed these questions semantically to conclude a complete and representative set of possible question types about bias. The final set consisted of 25 questions with varying answering formats, 17 questions using semantic differentials, and six ratings of feelings. We tested each of the questions on 190 articles with overall 663 participants to identify how well the questions measure an article's perceived bias. Our results show that 21 final items are suitable and reliable for measuring the perception of media bias. We publish the final set of questions on http://bias-question-tree.gipplab.org/.

Files

Files (345.3 kB)

Name Size Download all
md5:fdf0a1db39af4cbb8fc924d87992aa38
47.8 kB Download
md5:f16d8ca009500756e30e048ee8171be1
140.8 kB Download
md5:88aefe3ab3915341e7784bcbbb52299b
21.1 kB Download
md5:c922576af1105ff252c5873586a45ee3
135.6 kB Download