Trauma Isn't One Size Fits All: How Online Support Communities Point to Different Diagnostic Criteria for C-PTSD and PTSD.

Reddit has provided rich data on mental health discourse. The present study uses 40,335 online posts from Reddit communities to investigate how language can contribute to the understanding of PTSD and C-PTSD. The results showed distinct language patterns in the use of first-person pronouns, cognitive processing, and emotion words, suggesting that they are separate disorders with different effects on survivors. Further, while some social media studies have differentiated submissions and comments, few have investigated the language changes between these contexts. Post-hoc results showed a clear distinction between two contexts across several linguistic markers. Discussion and future directions are explored.

Using crowdsourced medicine to manage uncertainty on Reddit: The case of COVID-19 long-haulers.

OBJECTIVE: Causes of and treatments for long-COVID syndrome remain unknown. Drawing on uncertainty management theory (UMT), this study elucidates the communicative nature of crowdsourced medicine as a means by which COVID "long-haulers" respond to their poorly understood illness. METHODS: 31,892 posts on the long-haulers subreddit (r/covidlonghaulers) were analyzed, starting with its creation date, July 24th, 2020, until January 7, 2021. The Meaning Extraction Method was used to identify clusters of words that mathematically group together across the text observations. RESULTS: Analyses yielded 16 distinct factors of words, which we thematized based on their composition, the data, and UMT. The 16 themes encompassed symptoms (e.g., pain, respiratory, sensory), diagnostic concerns (testing, diagnosis), broad health concerns (immunity, physical activity, diet), chronicity, support, identity, and anxiety. CONCLUSION: Findings provide a succinct, yet robust set of themes reflecting the information-seeking (i.e., "This is happening to me") and support-seeking functions of long-haulers' talk (i.e., "Is this happening to you?"). Findings have implications for collective uncertainty management, online crowdsourcing, and patient advocacy. PRACTICE IMPLICATIONS: We recommend that health care providers employ sensitivity when addressing the anxiety that long-haulers are experiencing while also validating that their physical symptoms are real. Online communities help long-haulers manage their uncertainty.

Language left behind on social media exposes the emotional and cognitive costs of a romantic breakup.

Using archived social media data, the language signatures of people going through breakups were mapped. Text analyses were conducted on 1,027,541 posts from 6,803 Reddit users who had posted about their breakups. The posts include users' Reddit history in the 2 y surrounding their breakups across the various domains of their life, not just posts pertaining to their relationship. Language markers of an impending breakup were evident 3 mo before the event, peaking on the week of the breakup and returning to baseline 6 mo later. Signs included an increase in I-words, we-words, and cognitive processing words (characteristic of depression, collective focus, and the meaning-making process, respectively) and drops in analytic thinking (indicating more personal and informal language). The patterns held even when people were posting to groups unrelated to breakups and other relationship topics. People who posted about their breakup for longer time periods were less well-adjusted a year after their breakup compared to short-term posters. The language patterns seen for breakups replicated for users going through divorce (n = 5,144; 1,109,867 posts) or other types of upheavals (n = 51,357; 11,081,882 posts). The cognitive underpinnings of emotional upheavals are discussed using language as a lens.

The narrative arc: Revealing core narrative structures through text analysis.

Scholars across disciplines have long debated the existence of a common structure that underlies narratives. Using computer-based language analysis methods, several structural and psychological categories of language were measured across ~40,000 traditional narratives (e.g., novels and movie scripts) and ~20,000 nontraditional narratives (science reporting in newspaper articles, TED talks, and Supreme Court opinions). Across traditional narratives, a consistent underlying story structure emerged that revealed three primary processes: staging, plot progression, and cognitive tension. No evidence emerged to indicate that adherence to normative story structures was related to the popularity of the story. Last, analysis of fact-driven texts revealed structures that differed from story-based narratives.

Heroes or Health Victims?: Exploring How the Elite Media Frames Veterans on Veterans Day.

We examine the frames the elite news media uses to portray veterans on and surrounding Veterans Day 2012, 2013, 2014, and 2015. We use mental health illness and media framing literature to explore how, why, and to what extent Veterans Day news coverage uses different media frames across the four consecutive years. We compiled a Media Coverage Corpora for each year, which contains the quotes and paraphrased remarks used in all veterans news stories for that year. In our primary study, we applied the meaning extraction method (MEM) to extract emergent media frames for Veterans Day 2014 and compiled a word frequency list, which captures the words most commonly used within the corpora. In post hoc analyses, we collected news stories and compiled word frequency lists for Veterans Day 2012, 2013, and 2015. Our findings reveal dissenting frames across 2012, 2013, and 2014 Veterans Day media coverage. Word frequency results suggest the 2012 and 2013 media frames largely celebrate Veterans as heroes, but the 2014 coverage depicts veterans as victimized by their wartime experiences. Furthermore, our results demonstrate how the prevailing 2015 media frames could be a reaction to 2014 frames that portrayed veterans as health victims. We consider the ramifications of this binary portrayal of veterans as either health victims or heroes and discuss the implications of these dueling frames for veterans' access to healthcare resources.

Food for thought: Exploring how people think and talk about food online.

This exploratory study examined the ways in which people communicate about food online by analyzing food-related conversations on Reddit, a social news networking site. The Meaning Extraction Helper (MEH) was used to analyze 2 corpora and define central themes related to online food talk. In light of these themes, the researchers discuss socio-cultural components shaping the food conversations in our society in general as well as healthy versus unhealthy communities, and provided specific directions for future empirical research.