2021 Faculty Research Poster Session and Research Fair
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Browsing 2021 Faculty Research Poster Session and Research Fair by Author "Chen, Li"
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Item More “likes” or no “likes”? An Online Experiment Evaluating the Effects of Secondary Cues on the Perceived Source Credibility of Corrective Messages(2021-03-04) Chen, LiAdopting an experimental design, this study examined the combined effects of tweet popularity data, profile image type, and need for cognition (NFC) on individuals’ perceived source credibility (PSC) of corrective messages. Three major findings were identified. First, PSC is positively associated with perceived message effectiveness and intentions to retweet a corrective message. Second, NFC moderates the effects of popularity data on PSC, such that high NFC individuals perceived tweets without popularity data to be most credible while low NFC individuals considered tweets with high popularity data most credible. Finally, in the high NFC group, a combination of a medical logo profile image and no tweet popularity data resulted in the highest PSC, and in the low NFC group, a combination of a real person profile image and high popularity data condition resulted in the highest PSC.Item Not for the Faint of Heart: A Content Analysis of FEMA's Use of Twitter During the 2017 Hurricane Season(2021-03-04) Chen, Li; Kinsky, Emily; Drumheller, KristinaLink to digital presentation: https://youtu.be/WaTXpXvUYhU | Applying semantic and content analysis research methodologies, this study examined posts by 13 of FEMA’s Twitter accounts during the 2017 hurricane season comparing messaging content across time between FEMA and its regional counterparts during Harvey, Maria, Irma, and Nate. Results showed FEMA provided information to affected publics and bolstered its work using various Twitter features. Differences were identified in tweets published by FEMA’s national and regional accounts. From hashtags to visual elements, FEMA's tweet content changed as the season progressed: more tweets included information about the impact of the storms. More tweets shared factual information from hurricane to hurricane, and the tweets tended to use more hashtags and account tags, which should broaden their audience.