Florence E. Enock
YOU?
Author Swipe
View article: Social bias is prevalent in user reports of hate and abuse online
Social bias is prevalent in user reports of hate and abuse online Open
The prevalence of online hate and abuse is a pressing global concern. While tackling such societal harms is a priority for research across the social sciences, it is a difficult task, in part because of the magnitude of the problem. User e…
View article: Does feeling collective responsibility for intergroup harm lead to infrahumanization?
Does feeling collective responsibility for intergroup harm lead to infrahumanization? Open
Previous research has suggested that subtle dehumanization can occur as a consequence of harming others. According to this research, participants who feel a sense of collective responsibility for their ingroup contributing to the harm expe…
View article: Large language models can consistently generate high-quality content for election disinformation operations
Large language models can consistently generate high-quality content for election disinformation operations Open
Advances in large language models have raised concerns about their potential use in generating compelling election disinformation at scale. This study presents a two-part investigation into the capabilities of LLMs to automate stages of an…
View article: Generative AI is already widespread in the public sector: evidence from a survey of UK public sector professionals
Generative AI is already widespread in the public sector: evidence from a survey of UK public sector professionals Open
Generative AI has the potential to transform how public services are delivered by enhancing productivity and reducing time spent on bureaucracy. But to what extent is the technology already in use? Our survey of UK public service professio…
View article: Understanding Counterspeech for Online Harm Mitigation
Understanding Counterspeech for Online Harm Mitigation Open
Counterspeech offers direct rebuttals to hateful speech by challenging perpetrators of hate and showing support to targets of abuse. It provides a promising alternative to more contentious measures, such as content moderation and deplatfor…
View article: Large language models can consistently generate high-quality content for election disinformation operations
Large language models can consistently generate high-quality content for election disinformation operations Open
Advances in large language models have raised concerns about their potential use in generating compelling election disinformation at scale. This study presents a two-part investigation into the capabilities of LLMs to automate stages of an…
View article: Behind the Deepfake: 8% Create; 90% Concerned. Surveying public exposure to and perceptions of deepfakes in the UK
Behind the Deepfake: 8% Create; 90% Concerned. Surveying public exposure to and perceptions of deepfakes in the UK Open
This article examines public exposure to and perceptions of deepfakes based on insights from a nationally representative survey of 1403 UK adults. The survey is one of the first of its kind since recent improvements in deepfake technology …
View article: Attribution of undesirable character traits, rather than trait-based dehumanization, predicts punishment decisions
Attribution of undesirable character traits, rather than trait-based dehumanization, predicts punishment decisions Open
Previous work has reported that the extent to which participants dehumanized criminals by denying them uniquely human character traits such as refinement, rationality and morality predicted the severity of the punishment endorsed for them.…
View article: Gendered Inequalities in Online Harms: Fear, Safety Work, and Online Participation
Gendered Inequalities in Online Harms: Fear, Safety Work, and Online Participation Open
Online harms, such as hate speech, trolling and self-harm promotion, continue to be widespread. There are growing concerns that these harms may disproportionately affect women, reflecting and reproducing existing structural inequalities wi…
View article: Understanding gender differences in experiences and concerns surrounding online harms: A short report on a nationally representative survey of UK adults
Understanding gender differences in experiences and concerns surrounding online harms: A short report on a nationally representative survey of UK adults Open
Online harms, such as hate speech, misinformation, harassment and self-harm promotion, continue to be widespread. While some work suggests that women are disproportionately affected by such harms, other studies find little evidence for gen…
View article: Understanding engagement with platform safety technology for reducing exposure to online harms
Understanding engagement with platform safety technology for reducing exposure to online harms Open
User facing 'platform safety technology' encompasses an array of tools offered by platforms to help people protect themselves from harm, for example allowing people to report content and unfollow or block other users. These tools are an in…
View article: Generative AI is already widespread in the public sector
Generative AI is already widespread in the public sector Open
Generative AI has the potential to transform how public services are delivered by enhancing productivity and reducing time spent on bureaucracy. Furthermore, unlike other types of artificial intelligence, it is a technology that has quickl…
View article: Understanding Counterspeech for Online Harm Mitigation
Understanding Counterspeech for Online Harm Mitigation Open
Counterspeech offers direct rebuttals to hateful speech by challenging perpetrators of hate and showing support to targets of abuse. It provides a promising alternative to more contentious measures, such as content moderation and deplatfor…
View article: Animalistic slurs increase harm by changing perceptions of social desirability
Animalistic slurs increase harm by changing perceptions of social desirability Open
In propaganda and hate speech, target groups are often compared to dangerous and disgusting animals. Exposure to these animalistic slurs is thought to increase endorsement of intergroup harm but the mechanism by which this happens remains …
View article: How can we combat online misinformation? A systematic overview of current interventions and their efficacy
How can we combat online misinformation? A systematic overview of current interventions and their efficacy Open
The spread of misinformation is a pressing global problem that has elicited a range of responses from researchers, policymakers, civil society and industry. Over the past decade, these stakeholders have developed many interventions to tack…
View article: Reduced helping intentions are better explained by the attribution of antisocial emotions than by ‘infrahumanization’
Reduced helping intentions are better explained by the attribution of antisocial emotions than by ‘infrahumanization’ Open
We challenge the explanatory value of one of the most prominent psychological models of dehumanization—infrahumanization theory—which holds that outgroup members are subtly dehumanized by being denied human emotions. Of central importance …
View article: Intergroup preference, not dehumanization, explains social biases in emotion attribution
Intergroup preference, not dehumanization, explains social biases in emotion attribution Open
Psychological models can only help improve intergroup relations if they accurately characterise the mechanisms underlying social biases. The claim that outgroups suffer dehumanization is near ubiquitous in the social sciences. We challenge…
View article: No convincing evidence outgroups are denied uniquely human characteristics: Distinguishing intergroup preference from trait-based dehumanization
No convincing evidence outgroups are denied uniquely human characteristics: Distinguishing intergroup preference from trait-based dehumanization Open
According to the dual model, outgroup members can be dehumanized by being thought to possess uniquely and characteristically human traits to a lesser extent than ingroup members. However, previous research on this topic has tended to inves…
View article: Cognitive and neural foundations of perceptual biases for the self and social groups
Cognitive and neural foundations of perceptual biases for the self and social groups Open
The notion of the self as distinct from other people is fundamental to the study of human psychology. Closely tied to this sense of self is the profound importance of belonging to social groups. The cognitive prioritisation of self- and in…
View article: Self and team prioritisation effects in perceptual matching: Evidence for a shared representation
Self and team prioritisation effects in perceptual matching: Evidence for a shared representation Open
Previous research has demonstrated that in-group favouritism occurs not only in higher-level judgments such as reward allocation, but also in low-level perceptual and attentional tasks. Recently, Moradi, Sui, Hewstone, and Humphreys (2015)…