Empathy Cultivation through (Pro)Social Media: A Counter to Compassion Fatigue

While a sizable body of literature suggests that repeated exposure to images of suffering may provoke compassion fatigue and news avoidance in audiences, this paper examines whether a different kind of representation can allow viewers to connect with the subjects of media coverage, cultivating empathy for them. The hope is that understanding the emotional impact of the way people are represented in news stories will help journalists better serve the public’s need for what Schudson called “social empathy”, “stories that—often in a human-interest vein—inform citizens about neighbors and groups they may not know or understand” and create a space where audiences can express positive emotions about their fellow citizens. This paper considers the reactions of followers of the “Humans of New York” (HONY) social media feed to the subjects of the feed’s posts, who are not portrayed as tragic victims, but humanized through portrayals of commonplace concerns, such as family, career, and romantic relationships. Comments on more than 8000 HONY posts over a year were analyzed using the Linguistic Inquiry Word Count program. Results indicate that comments on HONY are overwhelmingly positive and socially oriented, suggesting that this type of representation may be effective in countering compassion fatigue and allowing for better social connection.

Internal Validity of Two Promising Methods of Altering Temporal Orientation among Cigarette Smokers

Relapse to smoking continues to be among the most urgent global health concerns. Novel, accessible, and minimally invasive treatments to aid in smoking cessation are likely to improve the reach and efficacy of smoking cessation treatment. Encouraging prospection by decreasing delay discounting (DD) is a new therapeutic target in the treatment of smoking cessation. Two early-stage interventions, delivered remotely and intended to increase prospection, decrease DD and promote cessation are Episodic Future Thinking (EFT) and Future Thinking Priming (FTP). EFT and FTP have demonstrated at least modest reductions in delay discounting, but understanding whether these interventions are internally valid (i.e., are accomplishing the stated intention) is key. This study examined the internal validity of EFT and FTP. Participants (n = 20) seeking to quit smoking were randomly assigned to active or control conditions of EFT and FTP. Linguistic Inquiry Word Count (LIWC2015) was used to examine the language participants used while engaged in the tasks. Results revealed significant differences in the language participants used in the active and control conditions. Women employed more words than men, but no other demographic differences were found in language. The active conditions for both tasks showed a greater emphasis on future orientation. Risk-avoidance was significantly higher in the active vs. control condition for EFT. Remote delivery of both EFT and FTP was valid and feasible as participants adhered to instructions in the remote prompts, and trends in DD were in the expected directions.

Using LIWC to Analyze Participants’ Psychological Processing in Accounting JDM Research

This paper provides methodological guidance for judgment and decision-making (JDM) researchers in accounting who are interested in using the Linguistic Inquiry Word Count (LIWC) text analysis program to analyze research participants’ written responses to open-ended questions. We discuss how LIWC’s measures of psychological constructs were developed and validated in psycholinguistic research. We then use data from an audit JDM study to illustrate the use of LIWC to guide researchers in identifying suitable measures, performing quality control procedures, and reporting the analysis. We also discuss research design considerations that will strengthen the inferences drawn from LIWC analysis. The paper concludes with examples where LIWC analysis has the potential to reveal participants’ deep, complex, effortful psychological processing and affective states from their written responses.

Examining Users’ Concerns while Using Mobile Learning Apps

<p class="0abstract">Mobile learning applications (apps) are increasingly and widely adopted for learning purposes and educational content delivery globally, especially with the massive means of accessing the internet done majorly on mobile handheld devices. Users often submit their feedback on use, experience and general satisfaction via the reviews and ratings given in the digital distribution platforms. With this massive information given through the reviews, it presents an opportunity to derives valuable insights which can be utilized for various reasons and by different stakeholders of these mobile learning apps. This large volume of online reviews creates significant information overload which presents a time-consuming task to read through all reviews. By combining text mining techniques of topic modeling using Latent Dirichlet Algorithm (LDA) and sentiment analysis using Linguistic Inquiry Word Count (LIWC), we analyze these user reviews. These techniques identify inherent topics in the reviews and identifies variables of user satisfaction of mobile learning apps. The thematic analysis done reveals different keywords which guide classification into the topics identified. Conclusively, the topics derived are important to app stakeholders for further modifications and evolution tasks.</p>

“Most Americans like their privacy.” Exploring privacy concerns through US guests’ reviews

Purpose This study aims to explore US hotel guests’ privacy concerns with a twofold aim as follows: to investigate the privacy categories, themes and attributes most commonly discussed by guests in their reviews and to examine the influence of cultural proximity on privacy concerns. Design/methodology/approach This study combined automated text analytics with content analysis. The database consisted of 68,000 hotel reviews written by US guests lodged in different types of hotels in five European cities. Linguistic Inquiry Word Count, Leximancer and SPSS software were used for data analysis. Automated text analytics and a validated privacy dictionary were used to investigate the reviews by exploring the categories, themes and attributes of privacy concerns. Content analysis was used to analyze the narratives and select representative snippets. Findings The findings revealed various categories, themes and concepts related to privacy concerns. The two most commonly discussed categories were privacy restriction and outcome state. The main themes discussed in association with privacy were “room,” “hotel,” “breakfast” and several concepts within each of these themes were identified. Furthermore, US guests showed the lowest levels of privacy concerns when staying at American hotel chains as opposed to non-American chains or independent hotels, highlighting the role of cultural proximity in privacy concerns. Practical implications Hotel managers can benefit from the results by improving their understanding of hotel and service attributes mostly associated with privacy concerns. Specific suggestions are provided to hoteliers on how to increase guests’ privacy and on how to manage issues related to cultural distance with guests. Originality/value This study contributes to the hospitality literature by investigating a neglected issue: on-site hotel guests’ privacy concerns. Using an unobtrusive method of data collection and text analytics, this study offers valuable insights into the categories of privacy, the most recurrent themes in hotel guests’ reviews and the potential relationship between cultural proximity and privacy concerns.

The Influence of COVID-19 on the Well-Being of People: Big Data Methods for Capturing the Well-Being of Working Adults and Protective Factors Nationwide

The COVID-19 outbreak has affected the lives of people across the globe. To investigate the mental impact of COVID-19 and to respond to the call of researchers for the use of unobtrusive and intensive measurement in capturing time-sensitive psychological concepts (e.g., affect), we used big data methods to investigate the impact of COVID-19 by analyzing 348,933 tweets that people posted from April 1, 2020 to April 24, 2020. The dataset covers 2,231 working adults, who are from 454 counties across 48 states in the United States. In this study, we theorize the similarity and dissimilarity between COVID-19 and other common stressors. Similar to other stressors, pandemic severity negatively influenced the well-being of people by increasing negative affect. However, we did not find an influence of pandemic severity on the positive affect of the people. Dissimilar to other stressors, the protective factors for people during COVID-19 are not common factors that make people resilient to stress and they echo the unique experience during COVID-19. Moreover, we analyzed the text content of 348,933 tweets through Linguistic Inquiry Word Count (LIWC) and word cloud analysis to further reveal the psychological impact of COVID-19 and why the protective factors make people resilient to the mental impact of COVID-19. These exploratory analyses revealed the specific emotions that people experienced and the topics that people are concerned about during the pandemic. The theoretical and practical implications are discussed.

Twitter, time and emotions

The study of temporal trajectories of emotions shared in tweets has shown that both positive and negative emotions follow nonlinear circadian (24 h) and circaseptan (7-day) patterns. But to this point, such findings could be instrument-dependent as they rely exclusively on coding using the Linguistic Inquiry Word Count. Further, research has shown that self-referential content has higher relevance and meaning for individuals, compared with other types of content. Investigating the specificity of self-referential material in temporal patterns of emotional expression in tweets is of interest, but current research is based upon generic textual productions. The temporal variations of emotions shared in tweets through emojis have not been compared to textual analyses to date. This study hence focuses on several comparisons: (i) between Self-referencing tweets versus Other topic tweets, (ii) between coding of textual productions versus coding of emojis, and finally (iii) between coding of textual productions using different sentiment analysis tools (the Linguistic Inquiry and Word Count—LIWC; the Valence Aware Dictionary and sEntiment Reasoner—VADER and the Hu Liu sentiment lexicon—Hu Liu). In a collection of more than 7 million Self-referencing and close to 18 million Other topic content-coded tweets, we identified that (i) similarities and differences in terms of shape and amplitude can be observed in temporal trajectories of expressed emotions between Self-referring and Other topic tweets, (ii) that all tools feature significant circadian and circaseptan patterns in both datasets but not always, and there is often a correspondence in the shape of circadian and circaseptan patterns, and finally (iii) that circadian and circaseptan patterns obtained from the coding of emotional expression in emojis sometimes depart from those of the textual analysis, indicating some complementarity in the use of both modes of expression. We discuss the implications of our findings from the perspective of the literature on emotions and well-being.

Studying how individuals who express the feeling of loneliness in an online loneliness forum communicate in a non-loneliness forum: An Observational Study (Preprint)

BACKGROUND Loneliness is a public health concern and increasingly individuals experiencing loneliness are seeking support on online forums - some of which focus on discussions around loneliness (loneliness forum). Loneliness may influence how individuals express themselves and interact with others in different settings or forums not related to loneliness or well-being (non-loneliness forums). Hence, in order to design and implement appropriate and efficient online loneliness interventions, it is important to understand how individuals who express loneliness on online loneliness forums communicate in non-loneliness forums they belong; this could provide insights into the support needs of these users. OBJECTIVE This work studies how users who express the feeling of loneliness in an online loneliness forum communicate in an online non-loneliness forum. METHODS 2,401 users who expressed loneliness in posts published on a loneliness forum on Reddit and had published posts in a non-loneliness forum were identified. Using a natural language processing method, Latent dirichlet allocation (LDA), a psycholinguistic dictionary, Linguistic Inquiry Word Count (LIWC), and the word-score based language features: valence, arousal, and dominance, we determine the language use differences in posts published in the non-loneliness forum by these users compared to a control group of users who did not belong to any loneliness forum on Reddit. RESULTS We find that in posts published in the non-loneliness forum, users who expressed loneliness tend to use more words associated with the LIWC categories on sadness (cohen’s d =0.10) and seeking to socialize (cohen’s d =0.114) and use words associated with valence (cohen’s d=0.364) and dominance (cohen’s d = 0.117); also, they tend to publish posts related to LDA topics such as relationships (cohen’s d= 0.105) and family and friends / mental health (cohen’s d = 0.10). CONCLUSIONS There are clear distinctions in language use in non-loneliness forum posts by users who express loneliness compared to a control group of users. These findings can help with the design and implementation of online interventions around loneliness.

Online Supportive Group as social intervention to face COVID lockdown. A qualitative study on psychotherapists, psychology trainees and students, and community people

Several psychological interventions have been activated to help people during the Coronavirus pandemic, and research highlights the crucial role of group interventions as a space for sharing and processing the psychological experiences linked to this emergency and the consequent changes in people’s lifestyles. In this context, psychologists are mostly providers of this kind of service more than users. This study aimed at investigating and comparing post-hoc the subjective experience of psychotherapists, psychology trainees & students, and individuals of the general population who participated in a psychodynamically-oriented supportive group intervention. Fifty-two subjects were enrolled to participate to focus groups aimed at exploring participants’ decision to participate, their perceptions on how the support group influenced their elaboration of the psychological effects of pandemic/lockdown, and their feedback on its utility. Transcripts of the focus groups were analyzed with the Linguistic Inquiry Word Count (LIWC). Differences in the use of words/linguistic categories between groups were tested through chi-square tests. Content analysis was conducted by independent judges who extracted the most relevant comments. Preliminary results showed the main features related to the crisis response, and how belonging to different social roles was associated with different ways of experiencing and sharing emotions. People react in different ways to traumatic events, and how people react may say a lot about how they cope with the event and the extent to which the event plays a role in the future. Clinical implications on the use of this data for future treatment planning are also discussed.

Linguistic Markers in Women’s Discussions on Miscarriage and Abortion Illustrate Psychological Responses to Their Experiences

This study analyzed thousands of women’s online conversations in relation to their miscarriage or abortion experiences, classified as unplanned and planned traumas, respectively. Linguistic Inquiry Word Count text analysis revealed that people experiencing a planned trauma use distancing language patterns in higher frequency and engage in emotion regulation more than those who experienced trauma unexpectedly. On the other hand, planned trauma conversations used more self-focused language and more social-based language. Implications and future directions for trauma research are discussed.