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The importance and pervasiveness of emotions in our lives makes affective computing a tremendously important and vibrant line of work.
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#Emotional tweets
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Experimenting with distant supervision for emotion classification
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Tracking "Gross community happiness" from tweets
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Predicting depression via social media
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Say goodbye to MBTI, the fad that won’t die
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Crowdsourcing a word-emotion association lexicon
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Characterizing geographic variation in well-being using tweets
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Studying expressions of loneliness in individuals using Twitter: an observational study
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Counting the countless
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Analyzing and visualizing the sentiments of Ebola outbreak via tweets
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Psychological language on Twitter predicts county-level heart disease mortality
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This time, it’s real: Affective flexibility, time scales, feedback loops, and the regulation of emotion
Hollenstein, Tom. 2015 · 2015
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The sociology of gender theoretical perspectives and feminist frameworks
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Beyond LDA: Exploring supervised topic modeling for depression-related language in Twitter
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SemEval-2015 task 10: Sentiment analysis in Twitter
Rosenthal, Sara, Preslav Nakov, Svetlana Kiritchenko, Saif Mohammad, Alan Ritter, and Veselin Stoyanov. 2015 · 2015
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Shaping our tools: Contestability as a means to promote responsible algorithmic decision making in the professions
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Machine learning and AI for healthcare
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Invisible women: Exposing data bias in a world designed for men
Perez, Caroline Criado. 2019 · 2019
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Considerations for AI fairness for people with disabilities
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Association between surgical skin markings in dermoscopic images and diagnostic performance of a deep learning convolutional neural network for melanoma recognition
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What if your emotions were tracked to spy on you?
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It’s the end of the gold standard as we know it. on the impact of pre-aggregation on the evaluation of highly subjective tasks
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Climbing towards NLU: On meaning, form, and understanding in the age of data
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Experience grounds language
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Debiasing skin lesion datasets and models? not so fast
Bissoto, Alceu, Eduardo Valle, and Sandra Avila. 2020 · 2020
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Should a chatbot disclose itself? Implications for an online conversational retailer
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Computers do not make art, people do
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Arguments for an ‘emancipatory’research paradigm
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Don’t ask if Artificial Intelligence is good or fair, ask how it shifts power
Kalluri, Pratyusha. 2020 · 2020
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SOLO: A corpus of tweets for examining the state of being alone
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Harmonization sometimes harms
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Emotional AI, soft biometrics and the surveillance of emotional life: An unusual consensus on privacy
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Designing technologies for neurodiverse users: Considerations from research practice
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The chatbot disclosure dilemma: Desirable and undesirable effects of disclosing the non-human identity of chatbots
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Why you should do nlp beyond English
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Green AI
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That personality test may be discriminating people… and making your company dumber
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Emotional entanglement: China’s emotion recognition market and its implications for human rights
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Social media use in 2021
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Bender, Emily M, Timnit Gebru, Angelina McMillan-Major, and Shmargaret Shmitchell. 2021 · 2021
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Artificial Intelligence, music recommensation, and the curation of culture
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Generalized word shift graphs: A method for visualizing and explaining pairwise comparisons between texts
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Emotion dynamics in movie dialogues
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Local interpretations for explainable natural language processing: A survey
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Community-level research on suicidality prediction in a secure environment: Overview of the CLPsych 2021 shared task
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Beyond fair pay: Ethical implications of nlp crowdsourcing
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