Reporting non-consensual pornography: clarity, efficiency and distress
According to recent legislative initiatives, non-consensual pornography is a crime in several countries and social media providers have a duty to provide their users easy to use mechanisms to report abuses. In this paper, we analyse the state of the art of the interfaces for reporting non-consensual...
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| Veröffentlicht in: | Multimedia tools and applications 2023-04, Vol.82 (9), p.12829-12858 |
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| creator | De Angeli, Antonella Falduti, Mattia Menendez-Blanco, Maria Tessaris, Sergio |
| description | According to recent legislative initiatives, non-consensual pornography is a crime in several countries and social media providers have a duty to provide their users easy to use mechanisms to report abuses. In this paper, we analyse the state of the art of the interfaces for reporting non-consensual pornography from the victim’s perspective. Firstly, we analysed 45 content sharing platforms where aggressors might post non-consensual pornography. The analysis identified three distinct interaction styles for reporting the crime:
Scriptum
(a text-field where the user verbally describes the abuse),
Bonam
(a multilayered menu that includes a correct option), and
Malam
(a multilayered menu that does not include a correct option). Secondly, we conducted a within-subject study to evaluate the experience elicited by these interaction styles. Participants (N = 39) were given a scenario and asked to report six blurred images as non-consensual pornography using a medium-fidelity prototype. The results exposed complex trade-offs between clarity, efficiency, and distress among the different interaction styles. These trade-offs open foundational research directions transcending boundaries between human-computer interaction and multimedia studies and interfacing computer science research with the law. |
| doi_str_mv | 10.1007/s11042-022-14291-z |
| format | Article |
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Scriptum
(a text-field where the user verbally describes the abuse),
Bonam
(a multilayered menu that includes a correct option), and
Malam
(a multilayered menu that does not include a correct option). Secondly, we conducted a within-subject study to evaluate the experience elicited by these interaction styles. Participants (N = 39) were given a scenario and asked to report six blurred images as non-consensual pornography using a medium-fidelity prototype. The results exposed complex trade-offs between clarity, efficiency, and distress among the different interaction styles. These trade-offs open foundational research directions transcending boundaries between human-computer interaction and multimedia studies and interfacing computer science research with the law.</description><identifier>ISSN: 1380-7501</identifier><identifier>EISSN: 1573-7721</identifier><identifier>DOI: 10.1007/s11042-022-14291-z</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>1224: New Frontiers in Multimedia-based and Multimodal HCI ; Clarity ; Computer Communication Networks ; Computer Science ; Crime ; Data Structures and Information Theory ; Human-computer interface ; Multimedia ; Multimedia Information Systems ; Pornography ; Pornography & obscenity ; Special Purpose and Application-Based Systems ; Tradeoffs</subject><ispartof>Multimedia tools and applications, 2023-04, Vol.82 (9), p.12829-12858</ispartof><rights>The Author(s) 2023</rights><rights>The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c363t-97a330f6a6bb46d1e78b7c048a5c6542e1044f6fc93719271132b512ebcc21053</citedby><cites>FETCH-LOGICAL-c363t-97a330f6a6bb46d1e78b7c048a5c6542e1044f6fc93719271132b512ebcc21053</cites><orcidid>0000-0002-7353-5183 ; 0000-0003-2078-4677</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11042-022-14291-z$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11042-022-14291-z$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>314,777,781,27905,27906,41469,42538,51300</link.rule.ids></links><search><creatorcontrib>De Angeli, Antonella</creatorcontrib><creatorcontrib>Falduti, Mattia</creatorcontrib><creatorcontrib>Menendez-Blanco, Maria</creatorcontrib><creatorcontrib>Tessaris, Sergio</creatorcontrib><title>Reporting non-consensual pornography: clarity, efficiency and distress</title><title>Multimedia tools and applications</title><addtitle>Multimed Tools Appl</addtitle><description>According to recent legislative initiatives, non-consensual pornography is a crime in several countries and social media providers have a duty to provide their users easy to use mechanisms to report abuses. In this paper, we analyse the state of the art of the interfaces for reporting non-consensual pornography from the victim’s perspective. Firstly, we analysed 45 content sharing platforms where aggressors might post non-consensual pornography. The analysis identified three distinct interaction styles for reporting the crime:
Scriptum
(a text-field where the user verbally describes the abuse),
Bonam
(a multilayered menu that includes a correct option), and
Malam
(a multilayered menu that does not include a correct option). Secondly, we conducted a within-subject study to evaluate the experience elicited by these interaction styles. Participants (N = 39) were given a scenario and asked to report six blurred images as non-consensual pornography using a medium-fidelity prototype. The results exposed complex trade-offs between clarity, efficiency, and distress among the different interaction styles. 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In this paper, we analyse the state of the art of the interfaces for reporting non-consensual pornography from the victim’s perspective. Firstly, we analysed 45 content sharing platforms where aggressors might post non-consensual pornography. The analysis identified three distinct interaction styles for reporting the crime:
Scriptum
(a text-field where the user verbally describes the abuse),
Bonam
(a multilayered menu that includes a correct option), and
Malam
(a multilayered menu that does not include a correct option). Secondly, we conducted a within-subject study to evaluate the experience elicited by these interaction styles. Participants (N = 39) were given a scenario and asked to report six blurred images as non-consensual pornography using a medium-fidelity prototype. The results exposed complex trade-offs between clarity, efficiency, and distress among the different interaction styles. These trade-offs open foundational research directions transcending boundaries between human-computer interaction and multimedia studies and interfacing computer science research with the law.</abstract><cop>New York</cop><pub>Springer US</pub><doi>10.1007/s11042-022-14291-z</doi><tpages>30</tpages><orcidid>https://orcid.org/0000-0002-7353-5183</orcidid><orcidid>https://orcid.org/0000-0003-2078-4677</orcidid><oa>free_for_read</oa></addata></record> |
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| ispartof | Multimedia tools and applications, 2023-04, Vol.82 (9), p.12829-12858 |
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| language | eng |
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| source | Springer Nature - Complete Springer Journals |
| subjects | 1224: New Frontiers in Multimedia-based and Multimodal HCI Clarity Computer Communication Networks Computer Science Crime Data Structures and Information Theory Human-computer interface Multimedia Multimedia Information Systems Pornography Pornography & obscenity Special Purpose and Application-Based Systems Tradeoffs |
| title | Reporting non-consensual pornography: clarity, efficiency and distress |
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