A Framework of Severity for Harmful Content Online

The proliferation of harmful content on online social media platforms has necessitated empirical understandings of experiences of harm online and the development of practices for harm mitigation. Both understandings of harm and approaches to mitigating that harm, often through content moderation, ha...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Proceedings of the ACM on human-computer interaction 2021-10, Vol.5 (CSCW2), p.1-33, Article 368
Hauptverfasser: Scheuerman, Morgan Klaus, Jiang, Jialun Aaron, Fiesler, Casey, Brubaker, Jed R.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 33
container_issue CSCW2
container_start_page 1
container_title Proceedings of the ACM on human-computer interaction
container_volume 5
creator Scheuerman, Morgan Klaus
Jiang, Jialun Aaron
Fiesler, Casey
Brubaker, Jed R.
description The proliferation of harmful content on online social media platforms has necessitated empirical understandings of experiences of harm online and the development of practices for harm mitigation. Both understandings of harm and approaches to mitigating that harm, often through content moderation, have implicitly embedded frameworks of prioritization-what forms of harm should be researched, how policy on harmful content should be implemented, and how harmful content should be moderated. To aid efforts of better understanding the variety of online harms, how they relate to one another, and how to prioritize harms relevant to research, policy, and practice, we present a theoretical framework of severity for harmful online content. By employing a grounded theory approach, we developed a framework of severity based on interviews and card-sorting activities conducted with 52 participants over the course of ten months. Through our analysis, we identified four Types of Harm (physical, emotional, relational, and financial) and eight Dimensions along which the severity of harm can be understood (perspectives, intent, agency, experience, scale, urgency, vulnerability, sphere). We describe how our framework can be applied to both research and policy settings towards deeper understandings of specific forms of harm (e.g., harassment) and prioritization frameworks when implementing policies encompassing many forms of harm.
doi_str_mv 10.1145/3479512
format Article
fullrecord <record><control><sourceid>acm_cross</sourceid><recordid>TN_cdi_crossref_primary_10_1145_3479512</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3479512</sourcerecordid><originalsourceid>FETCH-LOGICAL-a1922-8e95e9df1824d54039f5b00baf795b60e1b91163bfde37afff8696312c11c2673</originalsourceid><addsrcrecordid>eNpNj81Lw0AUxBdRsNTi3dPePEXf248keyzB2kKhB_UcdpP3IJoP2USl_72VVvE0A_NjmBHiGuEO0dh7bTJnUZ2JmbKZTgCNOv_nL8ViHF8BAHML1qmZUEu5ir6jryG-yYHlE31SbKa95CHKtY8df7SyGPqJ-knu-rbp6UpcsG9HWpx0Ll5WD8_FOtnuHjfFcpt4dEolOTlLrmbMlamtAe3YBoDg-TAxpEAYHGKqA9ekM8_MeepSjapCrFSa6bm4PfZWcRjHSFy-x6bzcV8ilD9vy9PbA3lzJH3V_UG_4TeWeUy1</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>A Framework of Severity for Harmful Content Online</title><source>ACM Digital Library Complete</source><creator>Scheuerman, Morgan Klaus ; Jiang, Jialun Aaron ; Fiesler, Casey ; Brubaker, Jed R.</creator><creatorcontrib>Scheuerman, Morgan Klaus ; Jiang, Jialun Aaron ; Fiesler, Casey ; Brubaker, Jed R.</creatorcontrib><description>The proliferation of harmful content on online social media platforms has necessitated empirical understandings of experiences of harm online and the development of practices for harm mitigation. Both understandings of harm and approaches to mitigating that harm, often through content moderation, have implicitly embedded frameworks of prioritization-what forms of harm should be researched, how policy on harmful content should be implemented, and how harmful content should be moderated. To aid efforts of better understanding the variety of online harms, how they relate to one another, and how to prioritize harms relevant to research, policy, and practice, we present a theoretical framework of severity for harmful online content. By employing a grounded theory approach, we developed a framework of severity based on interviews and card-sorting activities conducted with 52 participants over the course of ten months. Through our analysis, we identified four Types of Harm (physical, emotional, relational, and financial) and eight Dimensions along which the severity of harm can be understood (perspectives, intent, agency, experience, scale, urgency, vulnerability, sphere). We describe how our framework can be applied to both research and policy settings towards deeper understandings of specific forms of harm (e.g., harassment) and prioritization frameworks when implementing policies encompassing many forms of harm.</description><identifier>ISSN: 2573-0142</identifier><identifier>EISSN: 2573-0142</identifier><identifier>DOI: 10.1145/3479512</identifier><language>eng</language><publisher>New York, NY, USA: ACM</publisher><subject>Empirical studies in HCI ; HCI theory, concepts and models ; Human computer interaction (HCI) ; Human-centered computing</subject><ispartof>Proceedings of the ACM on human-computer interaction, 2021-10, Vol.5 (CSCW2), p.1-33, Article 368</ispartof><rights>Owner/Author</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a1922-8e95e9df1824d54039f5b00baf795b60e1b91163bfde37afff8696312c11c2673</citedby><cites>FETCH-LOGICAL-a1922-8e95e9df1824d54039f5b00baf795b60e1b91163bfde37afff8696312c11c2673</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://dl.acm.org/doi/pdf/10.1145/3479512$$EPDF$$P50$$Gacm$$Hfree_for_read</linktopdf><link.rule.ids>314,776,780,2276,27901,27902,40172,75970</link.rule.ids></links><search><creatorcontrib>Scheuerman, Morgan Klaus</creatorcontrib><creatorcontrib>Jiang, Jialun Aaron</creatorcontrib><creatorcontrib>Fiesler, Casey</creatorcontrib><creatorcontrib>Brubaker, Jed R.</creatorcontrib><title>A Framework of Severity for Harmful Content Online</title><title>Proceedings of the ACM on human-computer interaction</title><addtitle>ACM PACMHCI</addtitle><description>The proliferation of harmful content on online social media platforms has necessitated empirical understandings of experiences of harm online and the development of practices for harm mitigation. Both understandings of harm and approaches to mitigating that harm, often through content moderation, have implicitly embedded frameworks of prioritization-what forms of harm should be researched, how policy on harmful content should be implemented, and how harmful content should be moderated. To aid efforts of better understanding the variety of online harms, how they relate to one another, and how to prioritize harms relevant to research, policy, and practice, we present a theoretical framework of severity for harmful online content. By employing a grounded theory approach, we developed a framework of severity based on interviews and card-sorting activities conducted with 52 participants over the course of ten months. Through our analysis, we identified four Types of Harm (physical, emotional, relational, and financial) and eight Dimensions along which the severity of harm can be understood (perspectives, intent, agency, experience, scale, urgency, vulnerability, sphere). We describe how our framework can be applied to both research and policy settings towards deeper understandings of specific forms of harm (e.g., harassment) and prioritization frameworks when implementing policies encompassing many forms of harm.</description><subject>Empirical studies in HCI</subject><subject>HCI theory, concepts and models</subject><subject>Human computer interaction (HCI)</subject><subject>Human-centered computing</subject><issn>2573-0142</issn><issn>2573-0142</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNpNj81Lw0AUxBdRsNTi3dPePEXf248keyzB2kKhB_UcdpP3IJoP2USl_72VVvE0A_NjmBHiGuEO0dh7bTJnUZ2JmbKZTgCNOv_nL8ViHF8BAHML1qmZUEu5ir6jryG-yYHlE31SbKa95CHKtY8df7SyGPqJ-knu-rbp6UpcsG9HWpx0Ll5WD8_FOtnuHjfFcpt4dEolOTlLrmbMlamtAe3YBoDg-TAxpEAYHGKqA9ekM8_MeepSjapCrFSa6bm4PfZWcRjHSFy-x6bzcV8ilD9vy9PbA3lzJH3V_UG_4TeWeUy1</recordid><startdate>20211018</startdate><enddate>20211018</enddate><creator>Scheuerman, Morgan Klaus</creator><creator>Jiang, Jialun Aaron</creator><creator>Fiesler, Casey</creator><creator>Brubaker, Jed R.</creator><general>ACM</general><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20211018</creationdate><title>A Framework of Severity for Harmful Content Online</title><author>Scheuerman, Morgan Klaus ; Jiang, Jialun Aaron ; Fiesler, Casey ; Brubaker, Jed R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a1922-8e95e9df1824d54039f5b00baf795b60e1b91163bfde37afff8696312c11c2673</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Empirical studies in HCI</topic><topic>HCI theory, concepts and models</topic><topic>Human computer interaction (HCI)</topic><topic>Human-centered computing</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Scheuerman, Morgan Klaus</creatorcontrib><creatorcontrib>Jiang, Jialun Aaron</creatorcontrib><creatorcontrib>Fiesler, Casey</creatorcontrib><creatorcontrib>Brubaker, Jed R.</creatorcontrib><collection>CrossRef</collection><jtitle>Proceedings of the ACM on human-computer interaction</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Scheuerman, Morgan Klaus</au><au>Jiang, Jialun Aaron</au><au>Fiesler, Casey</au><au>Brubaker, Jed R.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Framework of Severity for Harmful Content Online</atitle><jtitle>Proceedings of the ACM on human-computer interaction</jtitle><stitle>ACM PACMHCI</stitle><date>2021-10-18</date><risdate>2021</risdate><volume>5</volume><issue>CSCW2</issue><spage>1</spage><epage>33</epage><pages>1-33</pages><artnum>368</artnum><issn>2573-0142</issn><eissn>2573-0142</eissn><abstract>The proliferation of harmful content on online social media platforms has necessitated empirical understandings of experiences of harm online and the development of practices for harm mitigation. Both understandings of harm and approaches to mitigating that harm, often through content moderation, have implicitly embedded frameworks of prioritization-what forms of harm should be researched, how policy on harmful content should be implemented, and how harmful content should be moderated. To aid efforts of better understanding the variety of online harms, how they relate to one another, and how to prioritize harms relevant to research, policy, and practice, we present a theoretical framework of severity for harmful online content. By employing a grounded theory approach, we developed a framework of severity based on interviews and card-sorting activities conducted with 52 participants over the course of ten months. Through our analysis, we identified four Types of Harm (physical, emotional, relational, and financial) and eight Dimensions along which the severity of harm can be understood (perspectives, intent, agency, experience, scale, urgency, vulnerability, sphere). We describe how our framework can be applied to both research and policy settings towards deeper understandings of specific forms of harm (e.g., harassment) and prioritization frameworks when implementing policies encompassing many forms of harm.</abstract><cop>New York, NY, USA</cop><pub>ACM</pub><doi>10.1145/3479512</doi><tpages>33</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2573-0142
ispartof Proceedings of the ACM on human-computer interaction, 2021-10, Vol.5 (CSCW2), p.1-33, Article 368
issn 2573-0142
2573-0142
language eng
recordid cdi_crossref_primary_10_1145_3479512
source ACM Digital Library Complete
subjects Empirical studies in HCI
HCI theory, concepts and models
Human computer interaction (HCI)
Human-centered computing
title A Framework of Severity for Harmful Content Online
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-10T08%3A11%3A19IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-acm_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20Framework%20of%20Severity%20for%20Harmful%20Content%20Online&rft.jtitle=Proceedings%20of%20the%20ACM%20on%20human-computer%20interaction&rft.au=Scheuerman,%20Morgan%20Klaus&rft.date=2021-10-18&rft.volume=5&rft.issue=CSCW2&rft.spage=1&rft.epage=33&rft.pages=1-33&rft.artnum=368&rft.issn=2573-0142&rft.eissn=2573-0142&rft_id=info:doi/10.1145/3479512&rft_dat=%3Cacm_cross%3E3479512%3C/acm_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true