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  1. This study investigates the types of humor embedded in funny scientific posts on social media and their effects on engagement. We mapped the landscape of such posts on Twitter and Instagram through content analysis of their message attributes. Regression analyses were then conducted to examine how different humor types, communicative functions, and visual attributes were associated with liking, retweeting, and commenting. On Twitter, wordplay and satire were found to be positively related to posts’ engagement levels, while anthropomorphic humor was negatively associated with the presence of comments. On Instagram, humor had no relation to engagement.

     
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  2. null (Ed.)
    Many visible public debates over scientific issues are clouded in accusations of falsehood, which place increasing demands on citizens to distinguish fact from fiction. Yet, constraints on our ability to detect misinformation coupled with our inadvertent motivations to believe false science result in a high likelihood that we will form misperceptions. As science falsehoods are often presented with emotional appeals, we focus our perspective on the roles of emotion and humor in the formation of science attitudes, perceptions, and behaviors. Recent research sheds light on how funny science and emotions can help explain and potentially overcome our inability or lack of motivation to recognize and challenge misinformation. We identify some lessons learned from these related and growing areas of research and conclude with a brief discussion of the ethical considerations of using persuasive strategies, calling for more dialogue among members of the science communication community. 
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  3. null (Ed.)
    Science communicators have been encouraged to use humor in their online engagement efforts. Yet, humor’s effectiveness for engaging people with science remains an open question. We report the results of an experiment designed to elicit varied levels of mirth in respondents, which was positively associated with perceived likability of the communicator and motivation to follow more science on social media. Furthermore, mirth and perceived likability serially mediated the effect of the experimental manipulation on motivation and factual science knowledge served as a moderator. This indicates that, while humor might be an effective means of reaching audiences, downstream effects are likely to vary depending on individuals’ knowledge. 
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  4. null (Ed.)
    Although humor is a recommended strategy for scientists to connect with publics, there is a lack of empirical evidence concerning its effectiveness. We conduct an experiment to test how funny science on Twitter affects engagement intentions. We find that different humor types caused viewers to experience different levels of mirth, which mediated the relationship between our experimental manipulation and engagement intentions. We also find need for humor, an individual trait, to moderate the relationship between mirth and engagement intentions. These findings extend our understanding of humor in science communication and offer empirical evidence on which practical advice can be grounded. 
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  6. null (Ed.)
    Inequalities in scientific knowledge are the subject of increasing attention, so how factual science knowledge is measured, and any inconsistencies in said measurement, is extremely relevant to the field of science communication. Different operationalizations of factual science knowledge are used interchangeably in research, potentially resulting in artificially comparable knowledge levels among respondents. Here, we present data from an experiment embedded in an online survey conducted in the United States (N = 1,530) that examined the distribution of factual science knowledge responses on a 3- vs. 5-point response scale. Though the scale did not impact a summative knowledge index, significant differences emerged when knowledge items were analyzed individually or grouped based on whether the correct response was “true” or “false.” Our findings emphasize the necessity for communicators to consider the goals of knowledge assessment when making operationalization decisions. 
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