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De-Biasing the Reporting Bias in Social Media Analytics

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  • Hongyu Chen
  • Zhiqiang (Eric) Zheng
  • Yasin Ceran

Abstract

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  • Hongyu Chen & Zhiqiang (Eric) Zheng & Yasin Ceran, 2016. "De-Biasing the Reporting Bias in Social Media Analytics," Production and Operations Management, Production and Operations Management Society, vol. 25(5), pages 849-865, May.
    • Handle: RePEc:bla:popmgt:v:25:y:2016:i:5:p:849-865
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    File URL: http://hdl.handle.net/10.1111/poms.12509
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    Cited by:

    1. Zhang, Min & Sun, Lin & Wang, G. Alan & Li, Yuzhuo & He, Shuguang, 2022. "Using neutral sentiment reviews to improve customer requirement identification and product design strategies," International Journal of Production Economics, Elsevier, vol. 254(C).
    2. Choi, Tsan-Ming & Guo, Shu & Luo, Suyuan, 2020. "When blockchain meets social-media: Will the result benefit social media analytics for supply chain operations management?," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 135(C).
    3. Agarwal, Puneet & Aziz, Ridwan Al & Zhuang, Jun, 2022. "Interplay of rumor propagation and clarification on social media during crisis events - A game-theoretic approach," European Journal of Operational Research, Elsevier, vol. 298(2), pages 714-733.
    4. Sheng, Jie & Amankwah-Amoah, Joseph & Wang, Xiaojun, 2017. "A multidisciplinary perspective of big data in management research," International Journal of Production Economics, Elsevier, vol. 191(C), pages 97-112.
    5. Zaiyan Wei & Mo Xiao & Rong Rong, 2021. "Network Size and Content Generation on Social Media Platforms," Production and Operations Management, Production and Operations Management Society, vol. 30(5), pages 1406-1426, May.

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