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Positivity Bias

Positivity bias refers to the phenomena when the public evaluates individuals positively even when they have negative evaluations of the group to which that individual belongs. It is commonly seen within the political science literature that examines positive respondent evaluations of individual political leaders in spite of that respondent's negative views on government in general. This phenomenon has been seen for more than 70 years.

It has been suggested that the public will generally evaluate specifie individuals more favorably than impersonal objects or groups. Poll results evaluating political leaders suggest that this positivity bias can be found regardless of the leader's party, ideology, or relative fame. The positivity bias has also been seen in evaluations of individuals in careers as wide ranging as Hollywood actors and actresses to athletes to union leaders.

This phenomenon seems to exist regardless of the amount or quality of information a respondent has for the object of evaluation. Studies indicate that the positivity bias is even seen when the respondent has never heard of the individual he or she is evaluating. In this situation, some suggest that the respondent assumes a favorable evaluation because he or she presumes that the person must be famous in order to be included in the survey. Research has also revealed that a positivity bias can be found in any subpopulation categorized by demographics like age, gender, race, and religion.

Examples

Within public opinion research, there are many examples of positivity bias to draw from. For instance, during the Watts riots in Los Angeles in August 1965, a survey of African Americans revealed that only 2 of the 13 political leaders assessed received negative evaluations. This was unexpected since the riots were in response to racially motivated brutality by the police department. Although evaluations of the police department and city government were low, the political leaders were generally held in relatively high regard.

Another example comes from surveys conducted in the middle of the Watergate scandal in the 1970s. Even in the midst of a scandal, only 4 of the 18 leaders assessed received negative evaluations. Once again, the public generally held the government in relatively low regard, yet 77% of the leaders evaluated received positive evaluations.

Positivity bias has a long history of scholarly research in the social sciences. It is still common to see published research examining these phenomena, but it is rare to see it explicitly referred to as positivity bias. This phenomenon has drawn the interest of a host of scholars seeking to understand why the public loves their congressional representatives, yet hates Congress.

Source

The source of the positivity bias is debatable. Within psychology, some believe that these biases are a part of the consistency paradigm, while others suggest it is more closely associated with the person perception literature. Political scientists tend to think of it in terms of perceived similarity, such that respondents believe the individuals they are evaluating are more similar at the individual level than the group to which the individual belongs.

Research has also attempted to determine whether the positivity bias is an artifact of the survey instrument. In a battery of experimental tests, research has shown that this bias is not associated with a respondent's desire to please the interviewer regardless of the instrument used. Another possible explanation is the way these evaluations are measured. These types of questions typically use a Likert-based, bipolar scale. Research has been conducted to determine if measurement options explain the positivity bias. Studies also sought to determine if the use of the subject's officiai title influenced a respondent's evaluation. In the end, results consistently suggest that the survey instrument is not responsible.

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