
This document was created by Rohini Lakshané in June 2024 as a part of an article series on image-based sexual abuse (IBSA) published on FactorDaily.com. It includes a random sample that is meant to be indicative, not exhaustive. The sample was created from top search results on Google News with the country setting restricted to India. Search strings: revenge porn, morphed nudes, leaked nudes, leaked nude videos, leaked videos OYO hotel. The contents of Columns D, E and F are noted solely on the basis of the contents of the news reports. In addition, this spreadsheet contains 7 incidents/ cases that were high-profile, that is, they received much public and media attention, and 4 reports that the researcher considers noteworthy. Data is provided AS-IS, without warranty as to accuracy or completeness. (Please download and use the latest version of this record, not the prior ones.)
non-consensual intimate images, Gender inequality, image-based sexual abuse, OGBV, IBSA, VAW, NCII, random sample, TFGBV, gender-based violence, GBV, image-based abuse, Gender studies, Sexual violence
non-consensual intimate images, Gender inequality, image-based sexual abuse, OGBV, IBSA, VAW, NCII, random sample, TFGBV, gender-based violence, GBV, image-based abuse, Gender studies, Sexual violence
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
