Proceedings of the 2017 Internet Measurement Conference 2017
DOI: 10.1145/3131365.3131385
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Fifteen minutes of unwanted fame

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Cited by 40 publications
(11 citation statements)
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“…An integrated NWB definition connects to the social debate on actual themes. These themes, such as Black Lives Matter, #MeToo, or Doxing, include no mutually excluding behaviors but a wide range of complementary and co-current physical, psychological, material, sociocultural, and digital NWBs (Snyder et al, 2017 ; Holroyd-Leduc and Straus, 2018 ; Chen et al, 2019 ; West et al, 2019 ). If the debate about mutually exclusive labels among researchers continues, the scientific community may miss the connection with the social debate.…”
Section: Discussionmentioning
confidence: 99%
“…An integrated NWB definition connects to the social debate on actual themes. These themes, such as Black Lives Matter, #MeToo, or Doxing, include no mutually excluding behaviors but a wide range of complementary and co-current physical, psychological, material, sociocultural, and digital NWBs (Snyder et al, 2017 ; Holroyd-Leduc and Straus, 2018 ; Chen et al, 2019 ; West et al, 2019 ). If the debate about mutually exclusive labels among researchers continues, the scientific community may miss the connection with the social debate.…”
Section: Discussionmentioning
confidence: 99%
“…When such identifying information is disclosed, doxing can easily lead to in-person harassment, stalking, and vilification. Despite the negative connotations of doxing, the same study showed the most common reason for doxing to be seeking justice against something that was seen to be immoral or unfair to a third party (68%), with doxing targets including both individuals who had allegedly cheated others in online forums and law enforcement officers (Snyder et al, 2017).…”
Section: Doxing and The Pursuit Of Justicementioning
confidence: 95%
“…In a study of over 5,500 online text files associated with doxing, a group of US scholars found that more than 90% included the victim's address, 61% included a phone number, 53% included an e-mail address, and 51% included information on family members (Snyder, Doerfler, Kanich, & McCoy, 2017). When such identifying information is disclosed, doxing can easily lead to in-person harassment, stalking, and vilification.…”
Section: Doxing and The Pursuit Of Justicementioning
confidence: 99%
“…In recent years, machine learning has been used to recognize forms of self-harm such as pro-eating disorder content in social media posts (Chancellor et al, 2016;Wang et al, 2017) and suicidal ideation (Burnan et al, 2015;Cao et al, 2019). Snyder et al (2017) developed an automated framework for detecting dox files, i.e. files which reveal personally identifiable data without consent, and measuring the frequency, content, targets, and effects of doxing on popular dox-posting sites.…”
Section: Other Forms Of Harmful Contentmentioning
confidence: 99%