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Media coverage possesses a substantial effect on the public perception ofevents. The way media frames events can significantly alter the beliefs andperceptions of our society. Nevertheless, nearly all media outlets are known toreport news in a biased way. While such bias can be introduced by altering theword choice or omitting information, the perception of bias also varies largelydepending on a reader's personal background. Therefore, media bias is a verycomplex construct to identify and analyze. Even though media bias has been thesubject of many studies, previous assessment strategies are oversimplified,lack overlap and empirical evaluation. Thus, this study aims to develop a scalethat can be used as a reliable standard to evaluate article bias. To name anexample: Intending to measure bias in a news article, should we ask, "Howbiased is the article?" or should we instead ask, "How did the article treatthe American president?". We conducted a literature search to find 824 relevantquestions about text perception in previous research on the topic. In amulti-iterative process, we summarized and condensed these questionssemantically to conclude a complete and representative set of possible questiontypes about bias. The final set consisted of 25 questions with varyinganswering formats, 17 questions using semantic differentials, and six ratingsof feelings. We tested each of the questions on 190 articles with overall 663participants to identify how well the questions measure an article's perceivedbias. Our results show that 21 final items are suitable and reliable formeasuring the perception of media bias. We publish the final set of questionson http://bias-question-tree.gipplab.org/.

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