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Homepage2Vec: Language-Agnostic Website Embedding and Classification ...
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Classifying Dyads for Militarized Conflict Analysis
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In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021)
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Cognitive Network Topology and Optimization of the Mental Lexicon ...
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Linguistic effects on news headline success: Evidence from thousands of online field experiments (Registered Report Protocol)
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In: PLoS One (2021)
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On the Limitations of Cross-lingual Encoders as Exposed by Reference-Free Machine Translation Evaluation ...
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On the limitations of cross-lingual encoders as exposed by reference-free machine translation evaluation
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Crosslingual Document Embedding as Reduced-Rank Ridge Regression ...
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Causal Effects of Brevity on Style and Success in Social Media ...
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Message Distortion in Information Cascades
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In: http://infoscience.epfl.ch/record/270657 (2019)
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Abstract:
Information diffusion is usually modeled as a process in which immutable pieces of information propagate over a network. In reality, however, messages are not immutable, but may be morphed with every step, potentially entailing large cumulative distortions. This process may lead to misinformation even in the absence of malevolent actors, and understanding it is crucial for modeling and improving online information systems. Here, we perform a controlled, crowdsourced experiment in which we simulate the propagation of information from medical research papers. Starting from the original abstracts, crowd workers iteratively shorten previously produced summaries to increasingly smaller lengths. We also collect control summaries where the original abstract is compressed directly to the final target length. Comparing cascades to controls allows us to separate the effect of the length constraint from that of accumulated distortion. Via careful manual coding, we annotate lexical and semantic units in the medical abstracts and track them along cascades. We find that iterative summarization has a negative impact due to the accumulation of error, but that high-quality intermediate summaries result in less distorted messages than in the control case. Different types of information behave differently; in particular, the conclusion of a medical abstract (i.e., its key message) is distorted most. Finally, we compare extractive with abstractive summaries, finding that the latter are less prone to semantic distortion. Overall, this work is a first step in studying information cascades without the assumption that disseminated content is immutable, with implications on our understanding of the role of word-of-mouth effects on the misreporting of science.
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URL: http://infoscience.epfl.ch/record/270657 https://doi.org/10.1145/3308558.3313531 http://infoscience.epfl.ch/record/270657/files/Final_Version.pdf
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Reverse-Engineering Satire, or "Paper on Computational Humor Accepted despite Making Serious Advances"
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In: http://infoscience.epfl.ch/record/271147 (2019)
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Why the World Reads Wikipedia: Beyond English Speakers
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In: http://infoscience.epfl.ch/record/270302 (2019)
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Crosslingual Document Embedding as Reduced-Rank Ridge Regression
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In: http://infoscience.epfl.ch/record/263893 (2019)
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Churn Intent Detection in Multilingual Chatbot Conversations and Social Media ...
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