This study investigates how people living with Multiple Sclerosis (MS) use language to articulate coping strategies in a large Italian online forum. Drawing on a corpus of nearly 15,000 messages authored by individuals with MS, we examine three distinct types of forum posts: initial messages that open a thread, self-replies written by the same user, and responses by other participants. Through a mixed- methods approach that combines linguistic profiling, readability metrics, and topic modeling, we identify structural, grammatical, and stylistic features that charac- terize different stages of online interaction. Our findings reveal a functional shift from autobiographical narration in initial posts to more dialogic, supportive, and emotionally expressive language in replies. We identify three recurring coping strate- gies emerging from forum discourse: (1) problem-focused coping, through detailed medical narratives and treatment decisions; (2) symptom-focused coping, involving bodily awareness and self-monitoring; and (3) emotion-focused coping, based on gratitude, reassurance, and social bonding. By highlighting the expressive and rela- tional functions of language in peer communication, this study contributes to the understanding of digital coping mechanisms in chronic illness contexts. It also offers insights for the development of linguistically informed tools capable of detecting emotional distress, emerging needs, or social disengagement. In the context of Active and Assisted Living (AAL), our findings suggest that language can act as a “soft sensor”, supporting more sensitive and user-centered approaches to digital health technologies

Linguistic Coping Strategies in Online Forums for Multiple Sclerosis: Insights for Peer Support and Digital Wellbeing

Melissa Ferretti;Davide Chiarella;Paola Cutugno;Alessandra Cinini
2026

Abstract

This study investigates how people living with Multiple Sclerosis (MS) use language to articulate coping strategies in a large Italian online forum. Drawing on a corpus of nearly 15,000 messages authored by individuals with MS, we examine three distinct types of forum posts: initial messages that open a thread, self-replies written by the same user, and responses by other participants. Through a mixed- methods approach that combines linguistic profiling, readability metrics, and topic modeling, we identify structural, grammatical, and stylistic features that charac- terize different stages of online interaction. Our findings reveal a functional shift from autobiographical narration in initial posts to more dialogic, supportive, and emotionally expressive language in replies. We identify three recurring coping strate- gies emerging from forum discourse: (1) problem-focused coping, through detailed medical narratives and treatment decisions; (2) symptom-focused coping, involving bodily awareness and self-monitoring; and (3) emotion-focused coping, based on gratitude, reassurance, and social bonding. By highlighting the expressive and rela- tional functions of language in peer communication, this study contributes to the understanding of digital coping mechanisms in chronic illness contexts. It also offers insights for the development of linguistically informed tools capable of detecting emotional distress, emerging needs, or social disengagement. In the context of Active and Assisted Living (AAL), our findings suggest that language can act as a “soft sensor”, supporting more sensitive and user-centered approaches to digital health technologies
Campo DC Valore Lingua
dc.authority.anceserie LECTURE NOTES IN BIOENGINEERING en
dc.authority.orgunit Istituto di linguistica computazionale "Antonio Zampolli" - ILC en
dc.authority.people Melissa Ferretti en
dc.authority.people Davide Chiarella en
dc.authority.people Paola Cutugno en
dc.authority.people Alessandra Cinini en
dc.authority.project Robotics and AI for Socio-economic Empowerment en
dc.collection.id.s 8c50ea44-be95-498f-946e-7bb5bd666b7c *
dc.collection.name 02.01 Contributo in volume (Capitolo o Saggio) *
dc.contributor.appartenenza Istituto di linguistica computazionale "Antonio Zampolli" - ILC *
dc.contributor.appartenenza.mi 918 *
dc.contributor.area Non assegn *
dc.contributor.area Non assegn *
dc.contributor.area Non assegn *
dc.contributor.area Non assegn *
dc.date.firstsubmission 2026/05/27 18:31:47 *
dc.date.issued 2026 -
dc.date.submission 2026/05/27 18:31:47 *
dc.description.abstracteng This study investigates how people living with Multiple Sclerosis (MS) use language to articulate coping strategies in a large Italian online forum. Drawing on a corpus of nearly 15,000 messages authored by individuals with MS, we examine three distinct types of forum posts: initial messages that open a thread, self-replies written by the same user, and responses by other participants. Through a mixed- methods approach that combines linguistic profiling, readability metrics, and topic modeling, we identify structural, grammatical, and stylistic features that charac- terize different stages of online interaction. Our findings reveal a functional shift from autobiographical narration in initial posts to more dialogic, supportive, and emotionally expressive language in replies. We identify three recurring coping strate- gies emerging from forum discourse: (1) problem-focused coping, through detailed medical narratives and treatment decisions; (2) symptom-focused coping, involving bodily awareness and self-monitoring; and (3) emotion-focused coping, based on gratitude, reassurance, and social bonding. By highlighting the expressive and rela- tional functions of language in peer communication, this study contributes to the understanding of digital coping mechanisms in chronic illness contexts. It also offers insights for the development of linguistically informed tools capable of detecting emotional distress, emerging needs, or social disengagement. In the context of Active and Assisted Living (AAL), our findings suggest that language can act as a “soft sensor”, supporting more sensitive and user-centered approaches to digital health technologies -
dc.description.allpeople Ferretti, Melissa; Chiarella, Davide; Cutugno, Paola; Cinini, Alessandra -
dc.description.allpeopleoriginal Melissa Ferretti; Davide Chiarella; Paola Cutugno; Alessandra Cinini en
dc.description.fulltext none en
dc.description.numberofauthors 4 -
dc.identifier.doi 10.1007/978-3-032-11050-3_30 en
dc.identifier.isbn 9783032110497 en
dc.identifier.isbn 9783032110503 en
dc.identifier.source orcid *
dc.identifier.uri https://hdl.handle.net/20.500.14243/584544 -
dc.language.iso eng en
dc.relation.allauthors Melissa Ferretti; Davide Chiarella; Paola Cutugno;Alessandra Cinini en
dc.relation.firstpage 509 en
dc.relation.ispartofbook Ambient Assisted Living. ForItAAL 2025 en
dc.relation.lastpage 529 en
dc.relation.numberofpages 21 en
dc.relation.projectAcronym RAISE en
dc.relation.projectAwardNumber ECS00000035 en
dc.relation.projectAwardTitle Robotics and AI for Socio-economic Empowerment en
dc.relation.projectFunderName Piano Nazionale di Ripresa e Resilienza, Missione 4 Istruzione e ricerca - Componente 2 Dalla ricerca all’impresa – Investimento 1.5, finanziato dall’Unione europea – NextGenerationEU en
dc.relation.projectFundingStream - en
dc.subject.keywordseng Patient narratives, Peer support, Coping strategies, Digital health, Forum communication,NLP -
dc.subject.singlekeyword Patient narratives *
dc.subject.singlekeyword Peer support *
dc.subject.singlekeyword Coping strategies *
dc.subject.singlekeyword Digital health *
dc.subject.singlekeyword Forum communication *
dc.subject.singlekeyword NLP *
dc.title Linguistic Coping Strategies in Online Forums for Multiple Sclerosis: Insights for Peer Support and Digital Wellbeing en
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