Amy Bruckman's research while affiliated with Georgia Institute of Technology and other places

... We received explicit permission in our interview consent process to do so, as well as permission to include images of the interviewee's processes and products. Our approach acknowledges prior advocacy in HCI to attribute creative accomplishments to their creators [14,16,97]. 3. The participants we interviewed along with their products and facilities. ...

... To the best of the authors' knowledge, no previous recent article either investigates this domain from such a combined perspective, or treats all illicit goods trafficking activities at once. Existing papers tend to focus only on a specific type of illicit trafficking and its particularities [3] [4], do not always engage with modern digital trends employed by traffickers and deal with either exclusively technical [5] [6], exclusively criminological [7] or exclusively ethical/legal issues [8] [9]. ...

... Warning labels are a nudging-like strategy used on several online social media to provide platform-mediated information to users about posts (20)(21)(22), which, however, may trigger a higher level of engagement (22,23). Also quarantining, aimed at preventing direct access to and promotion of controversial communities, has been found to be essentially ineffective in terms of reduction of antisocial behaviors (24). Deplatforming, instead, is the attempt to limit the danger posed by an individual or a group by removing the platforms (e.g. ...

... Identity-unaware offensiveness classifiers To conduct the experiment on offensiveness levels after identity disclosure, we use finetuned classifiers trained on an external Twitter corpus (Barbieri et al., 2020). The black-box nature of these classifiers and datasets contain the risk of predicting text features of some identities as more offensive than others without sufficient understanding of contexts surrounding the identity, such as African-American English (Sap et al., 2019;Harris et al., 2022). In fact, our correlation results between the scores of the offensive classifier and identity-specific classifiers on a large corpus ( Figure 10 in the Appendix) may lead to conclusions such as identity-specific language from nonbinary genders being more likely to be offensive than men or women, or the identity-specific language of Mexicans being the most offensive compared to other ethnicities. ...

... Additionally, our research also examines people's bias toward the content generation paradigms (i.e., given the same piece of content, whether knowing its creator affects people's evaluation). Liu et al. (2022) examined a similar question and found that-when writing emails to console others-the recipients display aversion toward the senders who use AI to write the message. Nevertheless, their study did not involve any emails actually generated by AI, but deceptively revealed and varied the human-generated messages to be either human-generated or AI-mediated. ...

... Whatever the explanation, a growing number of projects have sought to further examine and to some extent address the observed differences between annotations from different populations and the different opinions/beliefs they hold [e.g., 1, 2, 23, 22, 31]. Halevy et al. [18], for example, investigate how the bias against African American English propagates from annotation into hate detection models. They show that incorporating a specialised African American English classifier into a detection model can reduce the effects of annotation bias. ...

... Existing studies have investigated the efficacy of deplatforming social-media users [28], [29], [30], [31], [32], [33], [34], yet there has been limited research -both quantitative and qualitative -into the effectiveness of industry disruptions against standalone hate communities such as bulletin-board forums, which tend to be more resilient as the content can be fully backed up and restored by the admins. This paper investigates how well the industry -the entities offering digital infrastructure for online services such as hosting and domain providers, security and protection services, certificate authorities, and ISP networks -dealt with a hate and harassment site. ...

... Nowadays, we can clearly find widespread misinformation containing the same plot. Although the HIV, chemtrails, cholera, or Covid-19 replaced the plague, we can easily spot repetitiveness between all these stories (Cohn 2012;Šrol, Ballová Mikušková, and Čavojová 2021;Bruns, Hurcombe, and Harrington 2021;XiaoSijia, CheshireCoye, and BruckmanAmy 2021;Miani, Hills, and Bangerter 2022;Fraulin, Lee, and Bartels 2022). ...

... As part of this deep change a blanket term for transformation/transition , grass-root organizations promote and engage consumers and small-scale producers in adopting non-conventional practices of producing and consuming food [112]. Grassroots movements open up spaces for participation, using bottom-up and decentralized approaches [37,99]. ...

... First, this paper calls for soliciting stakeholder input, particularly through working with annotators who are of the community the model aims to capture. But further consultation with groups such as regional user-advocacy groups can be important to garner a higher-level view and broader problem understanding to prevent potential issues and low performance for underserved groups (Martin Jr et al., 2020;Caliskan et al., 2017;Bruckman, 2020;Ovadya and Whittlestone, 2019;Abid et al., 2021). ...