1,721,142 research outputs found
Text analysis in Python for social scientists: discovery and exploration
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The enemy in your own camp: how well can we detect statistically-generated fake reviews-an adversarial study
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The social and the neural network: how to make natural language processing about people again
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Narratives at Conflict: Computational Analysis of News Framing in Multilingual Disinformation Campaigns
No full textThe Social Impact of Natural Language Processing
Full text linkMedical sciences have long since established an ethics code for experiments, to minimize the risk of harm to subjects. Natural language processing (NLP) used to involve mostly anonymous corpora, with the goal of enriching linguistic analysis, and was therefore unlikely to raise ethical concerns. As NLP becomes increasingly wide-spread and uses more data from social media, however, the situation has changed: the outcome of NLP experiments and applications can now have a direct effect on individual users’ lives. Until now, the discourse on this topic in the field has not followed the technological development, while public discourse was often focused on exaggerated dangers. This position paper tries to take back the initiative and start a discussion. We identify a number of social implications of NLP and discuss their ethical significance, as well as ways to address them
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