How are Conversations via an On-Demand Peer-To-Peer Emotional Well-Being App Associated with Emotional Improvement?

References

• Abdel-Khalek, A. M. (2006). Measuring happiness with a single-item scale. Social Behavior & Personality: An International Journal, 34(2), 139–150. https://doi.org/10.2224/sbp.2006.34.2.139
   Web of Science ®Google Scholar
• Acosta, J. C., & Ward, N. G. (2011). Achieving rapport with turn-by-turn, user-responsive emotional coloring. Speech Communication, 53(9–10), 1137–1148. https://doi.org/10.1016/j.specom.2010.11.006
   Web of Science ®Google Scholar
• Ahmad, F., Jhajj, A. K., Stewart, D. E., Burghardt, M., & Bierman, A. S. (2014). Single item measures of self-rated mental health: A scoping review. BMC Health Services Research, 14(1), 1–11. https://doi.org/10.1186/1472-6963-14-398
   PubMed Web of Science ®Google Scholar
• Barak, A., Boniel-Nissim, M., & Suler, J. (2008). Fostering empowerment in online support groups. Computers in Human Behavior, 24(5), 1867–1883. https://doi.org/10.1016/j.chb.2008.02.004
   Web of Science ®Google Scholar
• Baumel, A., Tinkelman, A., Mathur, N., & Kane, J. M. (2018). Digital peer-support platform (7Cups) as an adjunct treatment for women with postpartum depression: Feasibility, acceptability, and preliminary efficacy study. Journal of Medical Internet Research MHealth and UHealth, 6(2), e38. https://doi.org/10.2196/mhealth.9482
   PubMed Web of Science ®Google Scholar
• Bavelas, J. B., Black, A., Lemery, C. R., & Mullett, J. (1986). “I show you how I feel”: Motor mimicry as a communicative act. Journal of Personality and Social Psychology, 50(2), 322–329. https://doi.org/10.1037/0022-3514.50.2.322
   Web of Science ®Google Scholar
• Bodie, G. D., Vickery, A. J., Cannava, K., & Jones, S. M. (2015). The role of “active listening” in informal helping conversations: Impact on perceptions of listener helpfulness, sensitivity, and supportiveness and discloser emotional improvement. Western Journal of Communication, 79(2), 151–173. https://doi.org/10.1080/10570314.2014.943429
   Web of Science ®Google Scholar
• Bowen, J. D., Winczewski, L. A., & Collins, N. L. (2017). Language style matching in romantic partners’ conflict and support interactions. Journal of Language and Social Psychology, 36(3), 263–286. https://doi.org/10.1177/0261927x16666308
   Web of Science ®Google Scholar
• Braithwaite, D. O., Waldron, V. R., & Finn, J. (1999). Communication of social support in computer-mediated groups for people with disabilities. Health Communication, 11(2), 123–151. https://doi.org/10.1207/s15327027hc1102_2
   PubMed Web of Science ®Google Scholar
• Brisini, K. S., Solomon, D. H., & Brinberg, M. (2023). Linking stress to the emergence of relational turbulence in marriage. Personal Relationships, 30(4), 1383–1404. https://doi.org/10.1111/pere.12515
   Web of Science ®Google Scholar
• Burgoon, J. K., Dunbar, N. E., & White, C. (2014). Interpersonal adaptation. In C. R. Berger (Ed.), Interpersonal communication (pp. 225–248). De Gruyter Mouton Publisher.
   Google Scholar
• Burgoon, J. K., Stern, L. A., & Dillman, L. (1995). Interpersonal adaptation: Dyadic interaction patterns. Cambridge University Press.
   Google Scholar
• Butler, E. A. (2011). Temporal interpersonal emotion systems: The “TIES” that form relationships. Personality and Social Psychology Review, 15(4), 367–393. https://doi.org/10.1177/1088868311411164
   PubMed Web of Science ®Google Scholar
• Butler, E. A. (2015). Interpersonal affect dynamics: It takes two (and time) to tango. Emotion Review, 7(4), 336–341. https://doi.org/10.1177/1754073915590622
   Web of Science ®Google Scholar
• Cabling, M. L., Turner, J. W., Hurtado de Mendoza, A., Zhang, Y., Jiang, X., Drago, F., & Sheppard, V. B. (2018). Sentiment analysis of an online breast cancer support group: Communicating about tamoxifen. Health Communication, 33(9), 1158–1165. https://doi.org/10.1080/10410236.2017.1339370
   PubMed Web of Science ®Google Scholar
• Cannava, K., & Bodie, G. D. (2017). Language use and style matching in supportive conversations between strangers and friends. Journal of Social and Personal Relationships, 34(4), 467–485. https://doi.org/10.1177/0265407516641222
   Web of Science ®Google Scholar
• Chartrand, T. L., & van Baaren, R. (2009). Human mimicry. In M. P. Zanna (Ed.), Advances in experimental social psychology (Vol. 41, pp. 219–274). Elsevier.
   Google Scholar
• Cheung, F., & Lucas, R. E. (2014). Assessing the validity of single-item life satisfaction measures: Results from three large samples. Quality of Life Research, 23(10), 2809–2818. https://doi.org/10.1007/s11136-014-0726-4
   PubMed Web of Science ®Google Scholar
• Clay, R. A. (2021). Mental health apps are gaining traction. Monitor on Psychology, 52(1). https://www.apa.org/monitor/2021/01/trends-mental-health-apps
   Google Scholar
• Condon, W. S., & Ogston, W. D. (1967). A segmentation of behavior. Journal of Psychiatric Research, 5(3), 221–235. https://doi.org/10.1016/0022-3956(67)90004-0
   Web of Science ®Google Scholar
• Daly, M., Sutin, A. R., & Robinson, E. (2022). Longitudinal changes in mental health and the COVID-19 pandemic: Evidence from the UK household longitudinal study. Psychological Medicine, 52(13), 2549–2558. https://doi.org/10.1017/S0033291720004432
   PubMed Web of Science ®Google Scholar
• Davison, K. P., Pennebaker, J. W., & Dickerson, S. S. (2000). Who talks? The social psychology of illness support groups. American Psychologist, 55(2), 205–217. https://doi.org/10.1037/0003-066X.55.2.205
   PubMed Web of Science ®Google Scholar
• Delaherche, E., Chetouani, M., Mahdhaoui, A., Saint-Georges, C., Viaux, S., & Cohen, D. (2012). Interpersonal synchrony: A survey of evaluation methods across disciplines. IEEE Transactions on Affective Computing, 3(3), 349–365. https://doi.org/10.1109/T-AFFC.2012.12
   Web of Science ®Google Scholar
• Doré, B. P., & Morris, R. R. (2018). Linguistic synchrony predicts the immediate and lasting impact of text-based emotional support. Psychological Science, 29(10), 1716–1723. https://doi.org/10.1177/0956797618779971
   PubMed Web of Science ®Google Scholar
• Dragojevic, M., Gasiorek, J., & Giles, H. (2016). Accommodative strategies as core of the theory. In H. Giles (Ed.), Communication accommodation theory: Negotiating personal relationships and social identities across contexts (pp. 36–59). Cambridge University Press. https://doi.org/10.1017/CBO9781316226537.003
   Google Scholar
• Dutta, M. J., & Feng, H. (2007). Health orientation and disease state as predictors of online health support group use. Health Communication, 22(2), 181–189. https://doi.org/10.1080/10410230701310323
   PubMed Web of Science ®Google Scholar
• Eichstaedt, J. C., Kern, M. L., Yaden, D. B., Schwartz, H. A., Giorgi, S., Park, G., Hagan, C. A., Tobolsky, V. A., Smith, L. K., Buffone, A., Iwry, J., Seligman, M. E. P., & Ungar, L. H. (2021). Closed- and open-vocabulary approaches to text analysis: A review, quantitative comparison, and recommendations. Psychological Methods, 26(4), 398–427. https://doi.org/10.1037/met0000349
   PubMed Web of Science ®Google Scholar
• Fortuna, K. L., Naslund, J. A., LaCroix, J. M., Biano, C. L., Brooks, J. M., Zisman-Ilani, Y., Muralidharan, A., & Deegan, P. (2020). Digital peer support mental health interventions for people with a lived experience of a serious mental illness: Systematic review. JMIR Mental Health, 7(4), e16460. https://doi.org/10.2196/16460
   PubMed Web of Science ®Google Scholar
• Gasiorek, J. (2016). Theoretical perspectives on interpersonal adjustments in language and communication. In H. Giles (Ed.), Communication accommodation theory: Negotiating personal relationships and social identities across contexts (pp. 13–35). Cambridge University Press.
   Google Scholar
• Giles, H., Coupland, N., & Coupland, J. (1991). Accommodation theory: Communication, context, and consequence. In H. Giles, J. Coupland & N. Coupland (Eds.), Contexts of accommodation: Developments in applied sociolinguistics (pp. 1–68). Cambridge University Press; Editions de la Maison des Sciences de l’Homme. https://doi.org/10.1017/CBO9780511663673.001
   Google Scholar
• Goldsmith, D. J. (2004). Communicating social support. Cambridge University Press.
   Google Scholar
• Gonzales, A. L., Hancock, J. T., & Pennebaker, J. W. (2010). Language style matching as a predictor of social dynamics in small groups. Communication Research, 37(1), 3–19. https://doi.org/10.1177/0093650209351468
   Web of Science ®Google Scholar
• Guerrero, L. K., Jones, S. M., & Burgoon, J. K. (2000). Responses to nonverbal intimacy change in romantic dyads: Effects of behavioral valence and degree of behavioral change on nonverbal and verbal reactions. Communication Monographs, 67(4), 325–346. https://doi.org/10.1080/03637750009376515
   Google Scholar
• Hatfield, E., Cacioppo, J. T., & Rapson, R. L. (1994). Emotional contagion. Cambridge University Press.
   Google Scholar
• High, A. C., & Dillard, J. P. (2012). A review and meta-analysis of person-centered messages and social support outcomes. Communication Studies, 63(1), 99–118. https://doi.org/10.1080/10510974.2011.598208
   Google Scholar
• Hipson, W. E., & Mohammad, S. M. (2021). Emotion dynamics in movie dialogues. PLOS ONE, 16(9), e0256153. https://doi.org/10.1371/journal.pone.0256153
   PubMed Web of Science ®Google Scholar
• Holt-Lunstad, J. (2017). The potential public health relevance of social isolation and loneliness: Prevalence, epidemiology, and risk factors. Public Policy & Aging Report, 27(4), 127–130. https://doi.org/10.1093/ppar/prx030
   Google Scholar
• Holt-Lunstad, J., Smith, T. B., Baker, M., Harris, T., & Stephenson, D. (2015). Loneliness and social isolation as risk factors for mortality. Perspectives on Psychological Science, 10(2), 227–237. https://doi.org/10.1177/1745691614568352
   PubMed Web of Science ®Google Scholar
• Hove, M. J., & Risen, J. L. (2009). It’s all in the timing: Interpersonal synchrony increases affiliation. Social Cognition, 27(6), 949–960. https://doi.org/10.1521/soco.2009.27.6.949
   Web of Science ®Google Scholar
• Hu, M., & Liu, B. (2004). Mining and summarizing customer reviews [ Paper presentation]. Proceedings of the 2004 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining – KDD ’04, Seattle, WA, USA. https://doi.org/10.1145/1014052.1014073
   Google Scholar
• Ireland, M. E., Slatcher, R. B., Eastwick, P. W., Scissors, L. E., Finkel, E. J., & Pennebaker, J. W. (2011). Language style matching predicts relationship initiation and stability. Psychological Science, 22(1), 39–44. https://doi.org/10.1177/0956797610392928
   PubMed Web of Science ®Google Scholar
• Jockers, M. L. (2015). Syuzhet: Extract sentiment and plot arcs from text. https://github.com/mjockers/syuzhet>
   Google Scholar
• Jones, S. M., Bodie, G. D., Youngvorst, L., Navarro, M., & Danielson, C. (2018). Mapping the terrain of person-centered supportive conversations. Communication Monographs, 85(4), 467–490. https://doi.org/10.1080/03637751.2018.1501503
   Web of Science ®Google Scholar
• Koole, S. L., & Tschacher, W. (2016). Synchrony in psychotherapy: A review and an integrative framework for the therapeutic alliance. Frontiers in Psychology, 7, 862. https://doi.org/10.3389/fpsyg.2016.00862
   PubMed Web of Science ®Google Scholar
• Koudenburg, N., Postmes, T., & Gordijn, E. H. (2017). Beyond content of conversation: The role of conversational form in the emergence and regulation of social structure. Personality and Social Psychology Review, 21(1), 50–71. https://doi.org/10.1177/1088868315626022
   PubMed Web of Science ®Google Scholar
• Lakey, B., & Orehek, E. (2011). Relational regulation theory: A new approach to explain the link between perceived social support and mental health. Psychological Review, 118(3), 482–495. https://doi.org/10.1037/a0023477
   PubMed Web of Science ®Google Scholar
• Lee, C. M., Cadigan, J. M., & Rhew, I. C. (2020). Increases in loneliness among young adults during the COVID-19 pandemic and association with increases in mental health problems. The Journal of Adolescent, 67(5), 714–717. https://doi.org/10.1016/j.jadohealth.2020.08.009
   Google Scholar
• Lepore, S. J., Ragan, J. D., & Jones, S. (2000). Talking facilitates cognitive-emotional processes of adaptation to an acute stressor. Journal of Personality and Social Psychology, 78(30), 499–508. https://doi.org/10.1037/0022-3514.78.3.499
   PubMedGoogle Scholar
• MacGeorge, E. L., & Zhou, Y. (2021). Social support, supportive communication, and health. In T. L. Thompson & N. G. Harrington (Eds.), The Routledge handbook of health communication (3rd ed. pp. 136–148). Routledge/Taylor & Francis Group.
   Google Scholar
• Manson, J. H., Bryant, G. A., Gervais, M. M., & Kline, M. A. (2013). Convergence of speech rate in conversation predicts cooperation. Evolution and Human Behavior, 34(6), 419–426. https://doi.org/10.1016/j.evolhumbehav.2013.08.001
   Web of Science ®Google Scholar
• McCarthy, M. (2003). Talking back: “Small” interactional response tokens in everyday conversation. Research on Language and Social Interaction, 36(1), 33–63. https://doi.org/10.1207/S15327973RLSI3601_3
   Web of Science ®Google Scholar
• Mehl, M. R., & Pennebaker, J. W. (2003). The sounds of social life: A psychometric analysis of students’ daily social environments and natural conversations. Journal of Personality and Social Psychology, 84(4), 857–870. https://doi.org/10.1037/0022-3514.84.4.857
   PubMed Web of Science ®Google Scholar
• Mohammad, S. (2018). Obtaining reliable human ratings of valence, arousal, and dominance for 20,000 English words [ Paper presentation]. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, Melbourne, Australia (Vol. 1). Long Papers. https://doi.org/10.18653/v1/p18-1017
   Google Scholar
• Mohammad, S., & Turney, P. (2010). Emotions evoked by common words and phrases: Using Mechanical Turk to create an emotion lexicon [ Paper presentation]. Proceedings of the NAACL HLT 2010 workshop on computational approaches to analysis and generation of emotion in text, Los Angeles, CA, USA (pp. 26–34).
   Google Scholar
• Naslund, J., Aschbrenner, K., Marsch, L., & Bartels, S. (2016). The future of mental health care: Peer-to-peer support and social media. Epidemiology and Psychiatric Sciences, 25(2), 113–122. https://doi.org/10.1017/S2045796015001067
   PubMed Web of Science ®Google Scholar
• Nielsen, F. A. (2011). A new ANEW: Evaluation of a word list for sentiment analysis in microblogs [ Paper presentation]. Proceedings of the ESWC2011 Workshop on ‘Making Sense of Microposts’: Big things come in small packages 718 in CEUR Workshop Proceedings, Heraklion, Greece (pp. 93–98). http://arxiv.org/abs/1103.2903
   Google Scholar
• Pennebaker, J. W., Boyd, R. L., Jordan, K., & Blackburn, K. (2015). The development and psychometric properties of LIWC2015. University of Texas at Austin.
   Google Scholar
• Pew Research Center. (2021, April 7). Mobile fact sheet. Pew Research Center. https://www.pewresearch.org/internet/fact-sheet/mobile/
   Google Scholar
• Pinheiro, J., Bates, D., DebRoy, S., Sarkar, D., & R Core Team. (2020). nlme: Linear and nonlinear mixed effects models. R Package Version 3.1-151. https://CRAN.R-project.org/package=nlme
   Google Scholar
• Rains, S. A. (2016). Language style matching as a predictor of perceived social support in computer-mediated interaction among individuals coping with illness. Communication Research, 43(5), 694–712. https://doi.org/10.1177/0093650214565920
   Web of Science ®Google Scholar
• R Core Team. (2022). R: A language and environment for statistical computing. R Foundation for Statistical Computing. https://www.R-project.org/
   Google Scholar
• Rinker, T. W. (2021). sentimentr: Calculate text polarity sentiment version 2.9.0. https://github.com/trinker/sentimentr
   Google Scholar
• Roberts, N. A., Leonard, R. C., Butler, E. A., Levenson, R. W., & Kanter, J. W. (2013). Job stress and dyadic synchrony in police marriages: A preliminary investigation. Family Process, 52(2), 271–283. https://doi.org/10.1111/j.1545-5300.2012.01415.x
   PubMed Web of Science ®Google Scholar
• Rohrbaugh, M. J., Shoham, V., Butler, E. A., Hasler, B. P., & Berman, J. S. (2009). Affective synchrony in dual‐and single‐smoker couples: Further evidence of “symptom‐system fit”? Family Process, 48(1), 55–67. https://doi.org/10.1111/j.1545-5300.2009.01267.x
   PubMed Web of Science ®Google Scholar
• Sandstrom, G. M., & Dunn, E. W. (2014). Social interactions and well-being: The surprising power of weak ties. Personality and Social Psychology Bulletin, 40(7), 910–922. https://doi.org/10.1177/0146167214529799
   PubMed Web of Science ®Google Scholar
• Schöllgen, I., Morack, J., Infurna, F. J., Ram, N., & Gerstorf, D. (2016). Health sensitivity: Age differences in the within-person coupling of individuals’ physical health and well-being. Developmental Psychology, 52(11), 1944–1953. https://doi.org/10.1037/dev0000171
   PubMed Web of Science ®Google Scholar
• Silge, J., & Robinson, D. (2016). tidytext: Text mining and analysis using tidy data principles in R. The Journal of Open Source Software, 1(3), 37. https://doi.org/10.21105/joss.00037
   Google Scholar
• Soliz, J., Giles, H., & Gasiorek, J. (2022). Communication accommodation theory: Converging toward an understanding of communication adaptation in interpersonal relationships. In D. O. Braithwaite & P. Schrodt (Eds.), Engaging theories in interpersonal communication (pp. 130–142). Routledge. https://doi.org/10.4324/9781003195511-12
   Google Scholar
• Swartwood, R. M., Veach, P., Kuhne, J., Lee, H. K., & Ji, K. (2011). Surviving grief: An analysis of the exchange of hope in online communities. Omega: The Journal of Death & Dying, 63(2), 161–181. https://doi.org/10.2190/OM.63.2.d
   PubMed Web of Science ®Google Scholar
• Tausczik, Y. R., & Pennebaker, J. W. (2010). The psychological meaning of words: LIWC and computerized text analysis methods. Journal of Language and Social Psychology, 29(1), 24–54. https://doi.org/10.1177/0261927X09351676
   Web of Science ®Google Scholar
• Templeton, E. M., Chang, L. J., Reynolds, E. A., Cone LeBeaumont, M. D., & Wheatley, T. (2022). Fast response times signal social connection in conversation. Proceedings of the National Academy of Sciences, 119(4). https://doi.org/10.1073/pnas.2116915119
   Web of Science ®Google Scholar
• Tickle-Degnen, L., & Rosenthal, R. (1990). The nature of rapport and its nonverbal correlates. Psychological Inquiry, 1(4), 285–293. https://doi.org/10.1207/s15327965pli0104_1
   Google Scholar
• van Uden Kraan, C. F., Drossaert, C. H. C., Taal, E., Lebrun, C. E. I., Drossaers-Bakker, K. W., Smit, W. M., Seydel, E. R., & van de Laar, M. A. F. J. (2008). Coping with somatic illnesses in online support groups: Do the feared disadvantages actually occur? Computers in Human Behavior, 24(2), 309–324. https://doi.org/10.1016/j.chb.2007.01.014
   Web of Science ®Google Scholar
• Warner, E. L., Ellington, L., Kirchhoff, A. C., & Cloyes, K. G. (2018). Acquisition of social support and linguistic characteristics of social media posts about young adult cancer. Journal of Adolescent and Young Adult Oncology, 7(2), 196–203. https://doi.org/10.1089/jayao.2017.0076
   PubMed Web of Science ®Google Scholar
• Weger, H., Castle Bell, G., Minei, E. M., & Robinson, M. C. (2014). The relative effectiveness of active listening in initial interactions. International Journal of Listening, 28(1), 13–31. https://doi.org/10.1080/10904018.2013.813234
   Google Scholar
• Weisel, K. K., Fuhrmann, L. M., Berking, M., Baumeister, H., Cuijpers, P., & Ebert, D. D. (2019). Standalone smartphone apps for mental health—a systematic review and meta-analysis. NPJ Digital Medicine, 2(118). https://doi.org/10.1038/s41746-019-0188-8
   PubMedGoogle Scholar
• Wickham, H. (2016). ggplot2: Elegant graphics for data analysis. Springer-Verlag New York.
   Google Scholar
• Wind, T. R., Rijkeboer, M., Andersson, G., & Riper, H. (2020). The COVID-19 pandemic: The ‘black swan’ for mental health care and a turning point for e-health. Internet Interventions, 20, 100317. https://doi.org/10.1016/j.invent.2020.100317
   PubMedGoogle Scholar
• Wright, K. (2000). Perceptions of on-line support providers: An examination of perceived homophily, source credibility, communication and social support within on-line support groups. Communication Quarterly, 48(1), 44–59. https://doi.org/10.1080/01463370009385579
   Google Scholar