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Gemma Beard

dblp:367/7005 · also Gemma Faye Beard · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2025
0009-0006-4197-1956ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 2 · 2 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Network and information security
2 papers
Privacy and data protection · 64% Security and privacy of machine learning · 36%
Interdisciplinary, comprehensive, and emerging computing
2 papers
Computational social science and digital humanities · 100%
Human-computer interaction and pervasive computing
1 paper
Collaborative and social computing · 100%

Topics — the 2 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Privacy and data protection › image privacy
non-consensual intimate imagery
1.122025
Prevalence and Impacts of Image-Based Sexual Abuse Victimization: A Multinational Study · CHI 2025
Non-Consensual Synthetic Intimate Imagery: Prevalence, Attitudes, and Knowledge in 10 Countries · CHI 2024
Privacy and data protection › image privacy
image-based sexual abuse
0.212024
Non-Consensual Synthetic Intimate Imagery: Prevalence, Attitudes, and Knowledge in 10 Countries · CHI 2024

Methods — techniques the papers use, named apart from their topics

survey study · 2.6survey · 1.5
YearPublicationVenuePosition
2025 Prevalence and Impacts of Image-Based Sexual Abuse Victimization: A Multinational Study
abstract
Image-based sexual abuse (IBSA) refers to the nonconsensual creating, taking, or sharing of intimate images, including threats to share intimate images.Despite the signifcant harms of IBSA, there is limited data on its prevalence and how it afects diferent identity or demographic groups.This study examines prevalence of, impacts from, and responses to IBSA via a survey with over 16,000 adults in 10 countries.More than 1 in 5 (22.6%) respondents reported an experience of IBSA.Victimization rates were higher among LGBTQ+ and younger respondents.Although victimized at similar rates, women reported greater harms and negative impacts from IBSA than men.Nearly a third (30.9%) of victim-survivors did not report or disclose their experience to anyone.We provide large-scale, granular, baseline data on prevalence in a diverse set of countries to aid in the development of efective interventions that address the experiences and intersectional identities of victim-survivors. CCS Concepts• Human-centered computing → Empirical studies in collaborative and social computing.
Rebecca Umbach, Nicola Henry, Gemma Beard
CHI3
2024 Non-Consensual Synthetic Intimate Imagery: Prevalence, Attitudes, and Knowledge in 10 Countries
abstract
Deepfake technologies have become ubiquitous, “democratizing” the ability to manipulate photos and videos. One popular use of deepfake technology is the creation of sexually explicit content, which can then be posted and shared widely on the internet. Drawing on a survey of over 16,000 respondents in 10 different countries, this article examines attitudes and behaviors related to “deepfake pornography” as a specific form of non-consensual synthetic intimate imagery (NSII). Our study found that deepfake pornography behaviors were considered harmful by respondents, despite nascent societal awareness. Regarding the prevalence of deepfake pornography victimization and perpetration, 2.2% of all respondents indicated personal victimization, and 1.8% all of respondents indicated perpetration behaviors. Respondents from countries with specific legislation still reported perpetration and victimization experiences, suggesting NSII laws are inadequate to deter perpetration. Approaches to prevent and reduce harms may include digital literacy education, as well as enforced platform policies, practices, and tools which better detect, prevent, and respond to NSII content.
Rebecca Umbach, Nicola Henry, Gemma Beard, Colleen Berryessa
CHI3