The current research explores differences between Facebook, Twitter, Instagram, and Snapchat in terms of intensity of use, time spent daily on the platform, and use motivations. The study applies the uses and gratifications (U&G) approach to contrast the four platforms. A cross-sectional survey of college students (N = 396) asked participants to indicate the intensity of using Facebook, Twitter, Instagram, and Snapchat as well as nine different use motivations. Findings show that participants spent the most time daily on Instagram, followed by Snapchat, Facebook, and Twitter, respectively. They also indicated the highest use intensity for Snapchat and Instagram (nearly equally), followed by Facebook and Twitter, respectively. With regard to use motivations, Snapchat takes the lead in five of the nine motivations. Findings are discussed in relation to the U&G approach and uniqueness of different social media and social networking sites (SNSs).

Recent studies suggest that users' preferences of social media use differ according to their individual differences and use motives, and that these factors can lead to problematic social media use (PSMU) among a minority of users. The objectives of the present study were to investigate the influences of (i) demographics and Big Five personality dimensions on social media use motives; (ii) demographics and use motives on social media site preferences; and (iii) demographics, personality, popular social media sites, and social media use motives on PSMU. The sample comprised 1008 undergraduate students, aged between 17 and 32 years (M = 20.49, SD = 1.73; 60.5% women). The participants completed a questionnaire comprising the Social Media Use Questionnaire, Social Media Usage Aims Scale, and Ten-Item Personality Inventory. Multiple linear and hierarchical regression analyses showed that social media use motives of (i) meeting new people and socializing, (ii) expressing or presenting a more popular self, and (iii) passing time and entertainment were associated with problematic Int J Ment Health Addiction

Internet users experience a variety of online security threats that require them to enact safety precautions. Protection Motivation Theory (PMT) provides a theoretical framework for understanding Internet users' security protection that has informed past research. Ongoing research on online safety recommends new motivational factors that are integrated here in a PMT framework for the first time. Using PMT, a cross-sectional survey (N = 988) of Amazon Mechanical Turk (MTurk) users was conducted to examine how classical and new PMT factors predicted security intentions. Coping appraisal variables were the strongest predictors of online safety intentions, especially habit strength, response efficacy, and personal responsibility. Threat severity was also a significant predictor. Incorporating additional factors (i.e., prior experiences, subjective norms, habit strength, perceived security support, and personal responsibility) into the conventional PMT model increased the model's explanatory power by 15%. Findings are discussed in relation to advancing PMT within the context of online security for home computer users.

With the growing sophistication of social media, virality of online content has become an indicator of online message effectiveness. We argue for a comprehensive definition that extends virality to social networking and microblogging sites, by emphasizing users’ behaviors beyond shear access and viewership. Across two studies, we investigate viral behavioral intentions (VBIs) toward pro-social messages shared on Facebook and Twitter. We further explore how motivations and uses of Facebook and Twitter predict VBIs toward messages shared on these websites.

Based on existing research on social networking and information seeking, it was proposed that Facebook.com use could be conceptualized as serving two primary goals: passive social browsing (i.e., newsfeeds) and extractive social searching (i.e., friends' profiles). This study explored whether these categories adequately reflect Facebook use and whether they moderate physiological indicators of emotion. Thirty-six participants navigated Facebook.com while their on-screen activity and physiological responses associated with motivation and emotion were recorded. Results showed that the majority of screens encountered during Facebook use could be categorized as devoted to social browsing or social searching. Participants spent more time on social browsing than they spent on social searching. Skin-conductance data indicated that sympathetic activation diminished during the course of both social browsing and social searching. Facial EMG data indicated that participants experienced more pleasantness during the course of social searching than they experienced during social browsing. These results are discussed in terms of existing social-networking research and an evaluative space model of emotion.

Growth in the popularity of social networking sites (SNSs) such as Facebook has been accompanied by unintended negative results (e.g., cyberbullying). SNSs could offer solutions, as well. In this article, we explore the persuasive effects of the emotional appeal and message virality of Facebook status updates. Using status updates for a fictitious anticyberbullying organization, we conducted a 3×2×2×3 (emotional tone × affective evaluation × viral reach × message repetition) mixed factorial experiment (N=365). Positive messages resulted in more positive message evaluations and stronger anticyberbullying attitudes and viral behavioral intentions. Further, low message virality led to the most favorable message evaluations, while high virality resulted in stronger anticyberbullying attitudes.

The current study explored the motivations of online social network use among a sample of the general population in Taiwan (N=4,346). It investigated how seven different motivations to use Facebook predicted the intensity of Facebook use and content-generation behaviors on Facebook. Results showed that the motivation to use Facebook for posting and viewing status updates was the strongest predictor of Facebook intensity, while the motivation to view and share photographs was the strongest predictor of content-generation behavior on the site. Results are discussed in terms of expanding motivations to use Facebook to the study of social networking sites and other new and social media.

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