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OpenBU is Boston University’s digital institutional repository for scholarly articles, theses and dissertations, preprints, and grey literature. This repository enables BU researchers to share, disseminate, and preserve their scholarship, and makes their research more accessible
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Recent Submissions
DebiasPI: inference-time debiasing by prompt iteration of a text-to-image generative model
(2024-09-29) Bonner, Sarah; Huang, Yu-Cheng; Novozhilova, Ekaterina; Paik, Sejin; Shan, Zhengyang; Feng, Michelle Yilin; Gao, Ge; Tayal, Yonish; Kulkarni, Rushil; Yu, Jialin; Divekar, Nupur; Ghadiyaram, Deepti; Wijaya, Derry; Betke, Margrit
Enhancing emotion prediction in news headlines: insights from ChatGPT and Seq2Seq models for free-text generation
(2024-05-20) Gao, Ge; Kim, Jongin; Paik, Sejin; Novozhilova, Ekaterina; Liu, Yi; Bonna, Sarah; Betke, Margrit; Wijaya, Derry
Tonality and racism
(Duke University Press, 2024-04-01) Yust, Jason
Tonality is one of the most important concepts in music theory, determining how music theorists organize music institutionally (in curricula, conferences, etc.) and conceptually. For François-Joseph Fétis, who first popularized the term in the nineteenth century, it was a central component of his biologically racist, white-supremacist music theory. This essay argues that the term as it is used today perpetuates this racism by associating a mix of musical features and human perceptual capacities with a Eurocentric historical classification, and by maintaining a teleological evolution narrative based on the European classical music tradition. It argues, furthermore, that scholarship can do away with the terms tonality and tonal music and would profit from instead using more specific terminology for musical features like tonics, major and minor keys, scale degrees, consonance, and functional harmony.
Memories of the Aldrih Ames damage assessment team
(The International Journal of Intelligence and Counterintelligence, 2024-10-01) Wippl, Joseph
De-skilling: evidence from late nineteenth century American manufacturing
(Elsevier, 2024-01-15) Margo, Robert; Atack, Jeremy; Rhode, Paul
PIXELMOD: improving soft moderation of visual misleading information on Twitter
Paudel, Pujan; Ling, Chen; Blackburn, Jeremy; Stringhini, Gianluca
LLMs cannot reliably identify and reason about security vulnerabilities (yet?): a comprehensive evaluation, framework, and benchmarks
(IEEE, 2024-05-19) Ullah, Saad; Han, Mingji; Pujar, Saurabh; Pearce, Hammond; Coskun, Ayse; Stringhini, Gianluca
Enabling contextual soft moderation on social mediathrough contrastive textual deviation
(2024-08-16) Paudel, Pujan; Saeed, Mohammad; Auger, Rebecca; Wells, Chris; Stringhini, Gianluca
From victims to defenders: an exploration of the phishing attack reporting ecosystem
(ACM, 2024-09-30) Sun, Zhibo; Kokulu, Faris Bugra; Zhang, Penghui; Oest, Adam; Stringhini, Gianluca; Bao, Tiffany; Wang, Ruoyu; Shoshitaishvili, Yan; Doupé, Adam; Ahn, Gail-Joon
Unraveling the web of disinformation: exploring the larger context of state-sponsored influence campaigns on Twitter
(ACM, 2024-09-30) Saeed, Mohammad Hammas; Ali, Shiza; Paudel, Pujan; Blackburn, Jeremy; Stringhini, Gianluca