The Effects of Social Media Use on the Perceptions of Mental Illness Among College Students

This study examined individuals’ use of and perceptions of social media networking sites (i.e. Facebook and Twitter) on their perceptions of mental illness. Previous studies have consistently found that media, by means of TV shows, movies, and news reports, depict distorted views of the mentally ill. Previous studies have also consistently found that these media depictions are related to increased stigma of mental illness and the mentally ill. This current study goes a step further by examining the role of social media networking sites on individual’s perceptions, since they are newer and more widely used forms of social media today. This study aimed to answer the research question, “does the use of social media networking sites, and the negative posts on them, perpetuate the stigma of mental illness?” Data was collected using a survey asking participants about their social media use, perceptions of, and attitudes about mental illness, as well as posts they have seen on social media about mental illness. Participants were 183 undergraduate college students at Butler University. The majority of the sample were female, upper-class, Liberal Arts and Sciences students. Using regression analyses, the results of this study showed no significant relationship between social media and mental illness perceptions as hypothesized. Social media use was found to be positively correlated with social media views, and additional analyses indicated that the more one uses social media, the more often they see posts regarding mental illness, as well as see posts involving mass shootings. Gender was found to have a significant relationship with mental illness perceptions. This finding indicated that males, on average, reported higher scores on the mental illness perceptions index, indicating that they hold more stigmatizing views of mental illness in comparison to females

FILTERING SOCIAL MEDIA POSTS

A social media filtering system filters social media posts based on criteria specified by a user. The system receives a request from a user to hide social media posts associated with a specified criteria. The specified criteria can be location criteria, event criteria, person criteria, and/or time criteria. Further, the system identifies a set of social media posts on a social media website. Then, the system determines social media posts from the set of social media posts that meet the specified criteria. The system further modifies the set of social media posts by removing or otherwise hiding the social media posts that meet the specified criteria. The system presents the modified set of social media posts to the user

Content shared on social media for national cancer survivors day 2018.

BACKGROUND:Studies estimate that the number of cancer survivors will double by 2050 due to improvements in diagnostic accuracy and treatment efficacy. Despite the growing population of cancer survivors, there is a paucity of research regarding how these individuals experience the transition from active treatment to long-term surveillance. While research has explored this transition from more organized venues, such as support groups for cancer survivors, this paper explores the discourses surrounding cancer survivorship on social media, paying particular attention to how individuals who identify as cancer survivors represent their experience. METHODS:We identified social media posts relating to cancer survivorship on Twitter and Instagram in early June 2018, in order to coincide with National Cancer Survivorship Day on June 3, 2018. We used nine pre-selected hashtags to identify content. For each hashtag, we manually collected the 150 most recent posts from Twitter and the 100 most recent plus the top 9 posts from Instagram. Our preliminary sample included 1172 posts; after eliminating posts from one hashtag due to irrelevance, we were left with 1063 posts. We randomly sampled 200 of these to create a subset for analysis; after review for irrelevant posts, 193 posts remained for analysis (118 from Instagram and 75 from Twitter). We utilized a grounded theory approach to analyze the posts, first open-coding a subset to develop a codebook, then applying the codebook to the rest of the sample and finally memo writing to develop themes. RESULTS:Overall, there is substantial difference in the tone and thematic content between Instagram and Twitter posts, Instagram takes on a more narrative form that represents journeys through cancer treatment and subsequent survivorship, whereas Twitter is more factual, leaning towards advocacy, awareness and fundraising. In terms of content type, 120 posts (62%) of the sample were images, of which 42 (35%) were images of the individual posting and 28 (23%) were images of patients posted by family or friends. Of the remaining images, 14 (12%) were of support groups and 7 (6%) were of family or friends. We identified four salient themes through analysis of the social media posts from Twitter and Instagram: social support, celebrating milestones and honoring survivors, expressing identity, and renewal vs. rebirth. DISCUSSION:We observed a marked relationship between physical appearance, functional status and survivorship. Additionally, our findings suggest the importance of social support for cancer patients and survivors as well as the role social media can pay in identity formation. CONCLUSION:Our findings suggest that individuals who identify as survivors on social media define their identity fluidly, incorporating elements of physical, emotional and psychological health as well as autonomy

Accurate Local Estimation of Geo-Coordinates for Social Media Posts

Associating geo-coordinates with the content of social media posts can enhance many existing applications and services and enable a host of new ones. Unfortunately, a majority of social media posts are not tagged with geo-coordinates. Even when location data is available, it may be inaccurate, very broad or sometimes fictitious. Contemporary location estimation approaches based on analyzing the content of these posts can identify only broad areas such as a city, which limits their usefulness. To address these shortcomings, this paper proposes a methodology to narrowly estimate the geo-coordinates of social media posts with high accuracy. The methodology relies solely on the content of these posts and prior knowledge of the wide geographical region from where the posts originate. An ensemble of language models, which are smoothed over non-overlapping sub-regions of a wider region, lie at the heart of the methodology. Experimental evaluation using a corpus of over half a million tweets from New York City shows that the approach, on an average, estimates locations of tweets to within just 2.15km of their actual positions.Comment: In Proceedings of the 26th International Conference on Software Engineering and Knowledge Engineering, pp. 642 - 647, 201

Social Media and Information Overload: Survey Results

A UK-based online questionnaire investigating aspects of usage of user-generated media (UGM), such as Facebook, LinkedIn and Twitter, attracted 587 participants. Results show a high degree of engagement with social networking media such as Facebook, and a significant engagement with other media such as professional media, microblogs and blogs. Participants who experience information overload are those who engage less frequently with the media, rather than those who have fewer posts to read. Professional users show different behaviours to social users. Microbloggers complain of information overload to the greatest extent. Two thirds of Twitter-users have felt that they receive too many posts, and over half of Twitter-users have felt the need for a tool to filter out the irrelevant posts. Generally speaking, participants express satisfaction with the media, though a significant minority express a range of concerns including information overload and privacy