Viral advertising has attracted advertisers in recent years, yet little is known about how exactly it works from an information processing perspective. This study extends knowledge by exploring how the emotional tone (pleasant, unpleasant, coactive) of viral video ads affects attitude toward the ad, attitude toward the brand, and forwarding intentions. Results indicate that pleasant emotional tone elicits the strongest attitude toward the ad, attitude toward the brand, and intention to forward. The effects were weaker for coactive tone and weakest for negative emotional tone. These results challenge the common approach of shocking or scaring online users to motivate them to forward a viral video.

Young women increasingly spend time on social media, but the relationship of this exposure to body image is still in the initial stages of exploration. In this study the authors used social comparison theory to examine the relationship between time spent on Facebook and body image. A survey of 881 U.S. college women was conducted in April-May 2013. Findings showed that 10.1% had posted about weight, body image, exercise, or dieting, and 27.4% had commented on friends' posts or photos. More time on Facebook related to more frequent body and weight comparisons, more attention to the physical appearance of others, and more negative feelings about their bodies for all women. For women who wanted to lose weight, more time on Facebook also related to more disordered eating symptoms.

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BackgroundTwitter is a widely used social medium. However, its application in promoting health behaviors is understudied.ObjectiveIn order to provide insights into designing health marketing interventions to promote physical activity on Twitter, this exploratory infodemiology study applied both social cognitive theory and the path model of online word of mouth to examine the distribution of different electronic word of mouth (eWOM) characteristics among personal tweets about physical activity in the United States.MethodsThis study used 113 keywords to retrieve 1 million public tweets about physical activity in the United States posted between January 1 and March 31, 2011. A total of 30,000 tweets were randomly selected and sorted based on numbers generated by a random number generator. Two coders scanned the first 16,100 tweets and yielded 4672 (29.02%) tweets that they both agreed to be about physical activity and were from personal accounts. Finally, 1500 tweets were randomly selected from the 4672 tweets (32.11%) for further coding. After intercoder reliability scores reached satisfactory levels in the pilot coding (100 tweets separate from the final 1500 tweets), 2 coders coded 750 tweets each. Descriptive analyses, Mann-Whitney U tests, and Fisher exact tests were performed.ResultsTweets about physical activity were dominated by neutral sentiments (1270/1500, 84.67%). Providing opinions or information regarding physical activity (1464/1500, 97.60%) and chatting about physical activity (1354/1500, 90.27%) were found to be popular on Twitter. Approximately 60% (905/1500, 60.33%) of the tweets demonstrated users’ past or current participation in physical activity or intentions to participate in physical activity. However, social support about physical activity was provided in less than 10% of the tweets (135/1500, 9.00%). Users with fewer people following their tweets (followers) (P=.02) and with fewer accounts that they followed (followings) (P=.04) were more likely to talk positively about physical activity on Twitter. People with more followers were more likely to post neutral tweets about physical activity (P=.04). People with more followings were more likely to forward tweets (P=.04). People with larger differences between number of followers and followings were more likely to mention companionship support for physical activity on Twitter (P=.04).ConclusionsFuture health marketing interventions promoting physical activity should segment Twitter users based on their number of followers, followings, and gaps between the number of followers and followings. The innovative application of both marketing and public health theory to examine tweets about physical activity could be extended to other infodemiology or infoveillance studies on other health behaviors (eg, vaccinations).

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