Filter by author: Michael A. Xenos

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• Date of publication Mar 13, 2023 Category: Article

  Fictional scenarios, real concerns: science fiction and perceptions of human genome editing

  by April A. Eichmeier , Luye Bao , Michael A. Xenos , Dominique Brossard , Dietram A. Scheufele

  This research addresses the association between attention to science fiction and public opinion of human genome editing (HGE). Using a nationally representative survey, our results show that attention to science fiction is associated with both risk and benefit perception of the technology. In addition, results show that, at higher levels of attention to science fiction, the levels of concern from conservatives (ordinarily predisposed to negative views toward science) and from liberals (ordinarily predisposed to positive views toward science) come closer to being the same. This research contributes to our understanding of debates about controversial science.

  Volume 22 • Issue 01 • 2023

• Date of publication May 26, 2021 Category: Article

  Learning without seeking?: Incidental exposure to science news on social media & knowledge of gene editing

  by Joshua T. L. Anderson , Emily Howell , Michael A. Xenos , Dietram A. Scheufele , Dominique Brossard

  Little is known about how incidental exposure to news, interpersonal discussion, and the diversity of social networks interact in social media environments and for science-related issues. Using a U.S. nationally representative survey, we investigate how these features relate to factual knowledge of gene editing. Incidental exposure to science-related news interacts with interpersonal discussion and network heterogeneity and reveals that the relationship between incidental exposure to news and knowledge is strongest among those who discuss the least. Incidental exposure could alleviate knowledge gaps between the Facebook users who are the most and least involved in interpersonal discussions about science.

  Volume 20 • Issue 04 • 2021

• Date of publication Aug 17, 2016 Category: Article

  Tweeting disaster: an analysis of online discourse about nuclear power in the wake of the Fukushima Daiichi nuclear accident

  by Nan Li , Heather Akin , Leona Yi-Fan Su , Dominique Brossard , Michael A. Xenos , Dietram A. Scheufele

  Of all the online information tools that the public relies on to collect information and share opinions about scientific and environmental issues, Twitter presents a unique venue to assess the spontaneous and genuine opinions of networked publics, including those about a focusing event like the Fukushima Daiichi nuclear accident following the 2011 Tohoku earthquake and tsunami. Using computational linguistic algorithms, this study analyzes a census of English-language tweets about nuclear power before, during, and after the Fukushima nuclear accident. Results show that although discourse about the event may have faded rapidly from the news cycle on traditional media, it evoked concerns about reactor safety and the environmental implications of nuclear power, particularly among users in U.S. states that are geographically closer to the accident site. Also, while the sentiment of the tweets was primarily pessimistic about nuclear power weeks after the accident, overall sentiment became increasingly neutral and uncertain over time. This study reveals there is a group of concerned citizens and stakeholders who are using online tools like Twitter to communicate about global and local environmental and health risks related to nuclear power. The implications for risk communication and public engagement strategies are discussed.

  Volume 15 • Issue 05 • 2016