Online Self-Disclosure and Social Sharing of Emotions of Women with Breast Cancer Using Instagram-Qualitative Conventional Content Analysis

OBJECTIVES

Women with breast cancer share their experiences and emotions about the illness on Instagram - a tool understudied when it comes to chronic illness. The paper characterizes the women's activities, and both online self-disclosure and social sharing of emotions concepts are used to help explain the women's practices.

METHODS

Using qualitative conventional content analysis, four profiles of women are manually analysed, with posts as the unit of analysis (n  =  811). Based on eleven subcategories, three broad analytical categories are introduced: self-disclosure of negative information (C1), self-disclosure of positive information (C2) and disclosure of information about other people (C3).

RESULTS

The women post narratives about suffering resulting from cancer, and the fears they experience. Also, the posts relate to positive emotions, joyful life events, self-acceptance, or self-affirmation. While writing, the women share information about people supporting them on their way to recovery.

DISCUSSION

The activity of women cannot be explained only by their online self-disclosure, where anonymity and lack of offline support are often emphasized. Women on Instagram are not anonymous and report on support by relatives and other people. Rimé's concept of social sharing of emotions is used to explain this phenomenon.

Tumblr Facts: Antecedents of Self-Disclosure across Different Social Networking Sites

Previous research investigating antecedents of online self-disclosure pointed out two perspectives: social compensation and enhancement hypotheses, showing controversial findings. Furthermore, most contributions have focused on social networking sites (SNSs) considered mainstream, like Facebook and Instagram, and such results are often considered universally valid for all SNSs. Tumblr is a less-studied SNS with peculiar features—such as anonymity, higher control over the presentation of personal aspects, supportive communities—that could particularly lead individuals to self-disclose. As prior contributions highlighted that the features and affordances could define how a medium will be used, this paper aims to investigate the antecedents of online self-disclosure on Tumblr and other mainstream SNSs. We run a survey on 559 Tumblr users (aged 13−70; M = 28.86; SD = 12.34). T-test showed that Tumblr users have a higher willingness to self-disclose on Tumblr compared to another SNSs (t = 22.44, p < 0.001). A path analysis model confirmed the predictive role of some psychological variables on self-disclosure on Tumblr but not on mainstream SNSs. In particular, self-disclosure on Tumblr was predicted by self-esteem, negative emotionality, and preference for online social interactions, which was in turn predicted by social anxiety. These findings partially supported both social compensation and enhancement hypotheses, indicating that the phenomenon is more complex than expected.

Associations Between Borderline Personality Disorder Symptoms and Online Self-Disclosure in Clinically Referred Youth

Communicating online via social media has proven to facilitate disclosure of intimate topics and can therefore be helpful in the development of intimate relationships. However, for youth with borderline personality disorder (BPD) symptoms, it may be more difficult to know when, what, and to whom to disclose (i.e., effective disclosure) in online contacts. The authors examine associations between BPD symptoms, online self-disclosure, and ineffective online self-disclosure (e.g., regretting sharing something online). The sample consisted of 235 clinically referred youth (66.4% female), aged 12-25 years (M = 17.82, SD = 2.96). Structural equation modeling revealed that BPD symptoms were related to higher levels of same- and cross-sex online self-disclosure as well as to more ineffective online self-disclosure. There was no moderation by sex or age. This study suggests that youth with BPD symptoms are at risk for oversharing personal information, which could affect forming and maintaining intimate relationships and increases online risks.

Fear of Evaluation and Online Self-Disclosure on WeChat: Moderating Effects of Protective Face Orientation

Fear of evaluation is a key factor that affects how social media users present themselves to others, but little is known about the effects and mechanisms involved, especially on the relationship between fear of positive evaluation and online self-disclosure. This study explores how fear of evaluation affects online self-disclosure and examines how this relationship is moderated by protective face orientation in the Chinese context. A total of 750 Chinese WeChat users constituted the sample for a questionnaire-based analysis and regression analysis. The results showed that both fear of positive evaluation and fear of negative evaluation had a significant negative effect on the amount of online self-disclosure and a significant positive effect on the depth of online self-disclosure. Protective face orientation had a moderating effect on the relationship between fear of evaluation and online self-disclosure for both the amount and depth of online self-disclosure. Our findings suggest that social network site (SNS) users' fear of evaluation can be attributed to their cognitive attitude toward the external environment, and the loss of face in the Chinese context can be included in the social context.

Analyzing Trends of Loneliness Through Large-Scale Analysis of Social Media Postings: Observational Study

BACKGROUND

Loneliness has become a public health problem described as an epidemic, and it has been argued that digital behavior such as social media posting affects loneliness.

OBJECTIVE

The aim of this study is to expand knowledge of the determinants of loneliness by investigating online postings in a social media forum devoted to loneliness. Specifically, this study aims to analyze the temporal trends in loneliness and their associations with topics of interest, especially with those related to mental health determinants.

METHODS

We collected a total of 19,668 postings from 11,054 users in the loneliness forum on Reddit. We asked seven crowdsourced workers to imagine themselves as writing 1 of 236 randomly chosen posts and to answer the short-form UCLA Loneliness Scale. After showing that these postings could provide an assessment of loneliness, we built a predictive model for loneliness scores based on the posts' text and applied it to all collected postings. We then analyzed trends in loneliness postings over time and their correlations with other topics of interest related to mental health determinants.

RESULTS

We found that crowdsourced workers can estimate loneliness (interclass correlation=0.19) and that predictive models are correlated with reported loneliness scores (Pearson r=0.38). Our results show that increases in loneliness are strongly associated with postings to a suicidality-related forum (hazard ratio 1.19) and to forums associated with other detrimental behaviors such as depression and illicit drug use. Clustering demonstrates that people who are lonely come from diverse demographics and from a variety of interests.

CONCLUSIONS

The results demonstrate that it is possible for unrelated individuals to assess people's social media postings for loneliness. Moreover, our findings show the multidimensional nature of online loneliness and its correlated behaviors. Our study shows the advantages of studying a hard-to-reach population through social media and suggests new directions for future studies.