This research targets multimedia content generated by Artificial Intelligence (AI) on social media and measures user responses to the content. AI-generated content on social media has the potential to spread misinformation, so it is important to investigate the type of responses such content evokes. This research asks how easily users can recognize the provenance of AI-generated content, what emotional reactions they have to the content, and how factors such as disclaimers, topic, and platform effect recognition and reaction. The study was done by analyzing comments on popular posts on TikTok and X containing multiple types of AI-generated media spanning a wide range of topics. Findings underscore a dominant majority of negative responses (70.8%, 177 comments) and comments with themes of Aversion (45.2%, 113 comments). Contextual analysis pointed out a stronger negativity towards disinformative posts (89.2%, 33 comments) and more positivity towards humorous posts (39.3%, 11 comments). Differences between platforms showed that X users properly recognized the provenance of AI content 7.3% more than TikTok users, further influenced by the presence of disclaimers. User disclaimers were more effective than platform disclaimers, showing the pivotal role users play in combating misinformation on social media. This research displays the scarcity of platform-initiated disclaimers, showing a need for more proactive measures to identify AI content. 9.6% of responses (24 comments) included legislative sentiments, which paired with such a large majority of negative responses highlights public support for regulatory interventions as societal apprehension towards AI lingers. As AI continues to develop, more research is needed to determine the ability of humans to discern the provenance of AI-generated multimedia content, and new ways to combat misinformation on social media may be needed to address this new technology.

In the past ten years, social network services have expanded from a digital method in which the public connects with only their friends and families. Social network services have evolved to a highly-accessible, convenient, cost-effective tool to engage with communities beyond one's frequented social circle on a local, national, and global scale. Many politicians have adapted in order to use social network services to connect directly with their constituents. Politicians have begun to use their profiles on social network services as their own privately owned publicity channel, publishing raw "material" like political opinions or legal advocacy, appearances at events and media like photos, videos or links to maintain transparency and accessibility to their constituencies. The content analysis investigates the use of a social network service (Twitter) by five different Arizonan politicians from different municipal, state and federal offices over the period of six months. All posts on Twitter were recorded, evaluated, and categorized by content into one of seventeen different divisions: Constituent Connection, Correction, Culture, Economy, Education, Environment, Healthcare, Humanitarianism, International, Military, Operational, Personal, Political Activity, Reply to Constituent, Security, Social Issues or Sports. The date, category, content, media type and engagement (replies, retweets, and favorites) were also recorded. Understanding how political figures connect and engage with their constituencies contributes to understanding modern campaigning and modern government; politicians are now finding it imperative to have and maintain a social media presence in order to gain relevance, transparency and accessibility with their constituencies. This study examines how politicians are currently utilizing these micro-blogging sites.

In recent years, social media has become more prevalent as a platform for political discussion and organization, especially among younger voters. This study sought to determine the relationship between social media use and the formation and evolution of political identity among undergraduate college students. The three research questions created for study are as follows: how does peer discussion impact political participation, how do news outlets impact political ideology, and what is the perceived effectiveness of online activism. Results revealed that peer discussion does not significantly impact political participation, that news outlets most often reinforce the user's original position, and that online activism is most commonly seen as an effective medium for awareness. Overall, it appears that social media use does have a mild impact on a user's political identity formation and evolution.

Smoking prevalence has been a significant issue in China. This present study investigates family influences on the smoking behaviors of highly-educated Chinese youths (HECY) and explores whether family factors work as distal factors in the revised framework of the theory of planned behavior. Convenience sampling and snow-ball sampling have been utilized to select participants from highly-educated Chinese youth population who are students studying in colleges or universities and people who recently graduated from Chinese colleges or universities with Bachelor's and/or Master' degrees. This study relies on quantitative methodologies to analyze the data from the participants' responses to online cross sectional surveys with SPSS. This present study has determined that family influences do contribute to the smoking behaviors of highly-educated Chinese youths. In addition to examining the proximal factors (highly-educated Chinese youths' attitudes toward smoking, self-efficacy and social norms of smoking) in the model of the theory of planned behavior, this current study has examined the following distal factors: (1) parental communication about smoking, (2) communication about smoking among siblings, (3) parents, siblings and/or cousins' attitudes toward smoking, and (4) smoking behaviors of parents, siblings and/or cousins.