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10 merged results for "Social Discourse"

Partial results: at least one source did not answer. Available results are shown rather than treating an upstream outage as zero matches.

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  1. What we write about when we write about causality: Features of causal statements across large-scale social discourse

    Thomas C. McAndrew, Joshua C. Bongard, Christopher M. Danforth, Peter S. Dodds · 2016 · 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), San Francisco, CA, 2016, pp. 519-524

    uncertain Transparent signal score 53/100 · policy 1.0.0

    Found in arxiv · DOI 10.1109/asonam.2016.7752284

    Show all credibility signals
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    • supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
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    • supportingMetadata completeness: All 6 scored descriptive metadata groups are present. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

  2. Dynamical Classes of Collective Attention in Twitter

    Janette Lehmann, Bruno Gonçalves, José J. Ramasco, Ciro Cattuto · 2011 · WWW'12, 251 (2012)

    uncertain Transparent signal score 58/100 · policy 1.0.0

    Found in arxiv · no DOI

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    • supportingMetadata completeness: All 6 scored descriptive metadata groups are present. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

  3. #lockdown: network-enhanced emotional profiling at the times of COVID-19

    Massimo Stella, Valerio Restocchi, Simon De Deyne · 2020

    uncertain Transparent signal score 58/100 · policy 1.0.0

    Found in arxiv · no DOI

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    • supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
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    • supportingMetadata completeness: All 6 scored descriptive metadata groups are present. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

  4. EDNA-Covid: A Large-Scale Covid-19 Tweets Dataset Collected with the EDNA Streaming Toolkit

    Abhijit Suprem, Calton Pu · 2020

    uncertain Transparent signal score 58/100 · policy 1.0.0

    Found in arxiv · no DOI

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    • not scoredDOI registered: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
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    • supportingPublication license: A publication license was supplied: https://info.arxiv.org/help/license/index.html. Presence improves reuse transparency, not research validity. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
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    • supportingMetadata completeness: All 6 scored descriptive metadata groups are present. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

  5. Cognitive networks identify the content of English and Italian popular posts about COVID-19 vaccines: Anticipation, logistics, conspiracy and loss of trust

    Massimo Stella, Michael S. Vitevitch, Federico Botta · 2021

    uncertain Transparent signal score 58/100 · policy 1.0.0

    Found in arxiv · no DOI

    Show all credibility signals
    • not scoredDOI registered: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
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    • supportingMetadata completeness: All 6 scored descriptive metadata groups are present. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

  6. A deep dive into the consistently toxic 1% of Twitter

    Hina Qayyum, Benjamin Zi Hao Zhao, Ian D. Wood, Muhammad Ikram · 2022

    uncertain Transparent signal score 58/100 · policy 1.0.0

    Found in arxiv · no DOI

    Show all credibility signals
    • not scoredDOI registered: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
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    • supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
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    • supportingMetadata completeness: All 6 scored descriptive metadata groups are present. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

  7. Characterizing Information Seeking Events in Health-Related Social Discourse

    Omar Sharif, Madhusudan Basak, Tanzia Parvin, Ava Scharfstein · 2023

    uncertain Transparent signal score 58/100 · policy 1.0.0

    Found in arxiv · no DOI

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    • not scoredDOI registered: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
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    • supportingMetadata completeness: All 6 scored descriptive metadata groups are present. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

  8. Leveraging Social Discourse to Measure Check-worthiness of Claims for Fact-checking

    Megha Sundriyal, Md Shad Akhtar, Tanmoy Chakraborty · 2023

    uncertain Transparent signal score 58/100 · policy 1.0.0

    Found in arxiv · no DOI

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    • supportingMetadata completeness: All 6 scored descriptive metadata groups are present. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

  9. Knowledge Graph Representation for Political Information Sources

    Tinatin Osmonova, Alexey Tikhonov, Ivan P. Yamshchikov · 2024

    uncertain Transparent signal score 58/100 · policy 1.0.0

    Found in arxiv · no DOI

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    • supportingMetadata completeness: All 6 scored descriptive metadata groups are present. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

  10. Machines in the Crowd? Measuring the Footprint of Machine-Generated Text on Reddit

    Lucio La Cava, Luca Maria Aiello, Andrea Tagarelli · 2025

    uncertain Transparent signal score 58/100 · policy 1.0.0

    Found in arxiv · no DOI

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    • supportingMetadata completeness: All 6 scored descriptive metadata groups are present. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer