Citations are in parentheses.\nList all the citations in the paragraphs above with a detailed one-sentence description.\nCitations in the same parentheses should have the same description.\nEach description should capture all details and context mentioned in the paragraph.\nDescriptions should NOT include the year, the authors of the cited papers, nor citations of other papers.\nDescriptions should start with A prior work that .\nIf a citation is mentioned multiple times, list all mentions:\n\n======\n* Research Paper: Understanding Effects of Algorithmic vs. Community Label on Perceived Accuracy of Hyper-partisan Misinformation\n* Section Title:Theoretical Implications\n* Paragraph: Our analyses reveal small but non-negligible effects of labels on people's sharing, liking, and commenting intention. The small differences among label conditions were not surprising as people had overall low sharing, liking, and commenting intention of those fake posts. This result(NAME_1 NAME_2 NAME_3., 2022.) was consistent with findings from past work. One recent study shows a discrepancy between people's sharing intention and accuracy judgment of fake posts (NAME_4 NAME_2 NAME_3., 2019.). This may also explain why NAME_5 NAME_2 NAME_3. (NAME_5 NAME_2 NAME_3., 2020.)'s study using sharing intent as the outcome variable exhibits some different patterns with our study(NAME_1 NAME_2 NAME_3., 2022.). Their findings suggest that AI was least effective in reducing peoples' sharing intentions while ours suggest that algorithmic labels perform as well as third-party fact-checker labels and outperform community labels in some cases.\n---\n-(NAME_1 NAME_2 NAME_3., 2022.): A prior work that revealed small differences between label conditions in terms of people's sharing, liking, and commenting intention.\n  -(NAME_4 NAME_2 NAME_3., 2019.): A prior work that showed a discrepancy between people's sharing intention and accuracy judgment of fake posts.\n  -(NAME_5 NAME_2 NAME_3., 2020.): A prior work that used sharing intent as the outcome variable and showed different patterns with the current paper.\n\n=====\n* Research Paper: Understanding Effects of Algorithmic vs. Community Label on Perceived Accuracy of Hyper-partisan Misinformation\n* Section Title:Limitations\n* Paragraph: Finally, our participants(NAME_1 NAME_2 NAME_3., 2022.) were recruited from CloudResearch and thus were not nationally representative (NAME_6 NAME_2 NAME_3., 2019.). Moreover, workers from crowd-sourcing platforms such as CloudResearch and Amazon Mechanical Turk are known to have relatively high information literacy and technical expertise than the genera