新闻传播5大具体领域引用量最高的15篇论文清单（附下载方式） Part1 Algorithms and society（1）Ananny, M., & Crawford, K. (2018). Seeing without knowing: Limitations of the transparency ideal and its application to algorithmic accountability. New Media & Society, 20(3), 973–989. https://doi.org/10.1177/1461444816676645（2）Diakopoulos, N., & Koliska, M. (2017). Algorithmic transparency in the news media. Digital Journalism, 5(7), 809–828. https://doi.org/10.1080/21670811.2016.1208053（3）Haim, M., Graefe, A., & Brosius, H.-B. (2018). Burst of the filter bubble? Digital Journalism, 6(3), 330–343. https://doi.org/10.1080/21670811.2017.1338145Part2 Information consumption（1）Fletcher, R., & Park, S. (2017). The impact of trust in the news media on online news consumption and participation. Digital Journalism, 5(10), 1281–1299. （2）Shin, J., & Thorson, K. (2017). Partisan selective sharing: The biased diffusion of fact-checking messages on social media. Journal of Communication, 67(2), 233–255. （3）Toff, B., & Nielsen, R. K. (2018). “I Just Google It”: Folk theories of distributed discovery. Journal of Communication, 68(3), 636–657. Part3 Advertising（1）Boerman, S. C., Kruikemeier, S., & Zuiderveen Borgesius, F. J. (2017). Online behavioral advertising: A literature review and research agenda. Journal of Advertising, 46(3), 363–376. （2）Voorveld, H. A. M., van Noort, G., Muntinga, D. G., & Bronner, F. (2018). Engagement with Social Media and Social Media Advertising: The Differentiating Role of Platform Type. Journal of Advertising, 47(1), 38–54. （3）Liu, X., Burns, A. C., & Hou, Y. (2017). An Investigation of brand-related user-generated content on Twitter. Journal of Advertising, 46(2), 236–247. Part4 Social Media（1）Anspach, N. M. (2017). The new personal influence: How our Facebook friends influence the news we read. Political Communication, 34(4), 590–606. （2）Valenzuela, S., Correa, T., & Zúñiga, H. G. de. (2018). Ties, likes, and tweets: Using strong and weak ties to explain differences in protest participation across Facebook and Twitter use. Political Communication, 35(1), 117–134. （3）Margolin, D. B., Hannak, A., & Weber, I. (2018). Political fact-checking on Twitter: When do corrections have an effect? Political Communication, 35(2), 196–219. https://doi.org/10.1080/10584609.2017.1334018 Part5 Affordances and personalities（1）Evans, S. K., Pearce, K. E., Vitak, J., & Treem, J. W. (2017). Explicating affordances: A conceptual framework for understanding affordances in communication research. Journal of Computer-Mediated Communication, 22(1), 35–52. （2）Liu, D., Baumeister, R. F., Yang, C.-C., & Hu, B. (2019). Digital communication media use and psychological well-being: A meta-analysis. Journal of Computer-Mediated Communication, 24(5), 259-273.（3）Bol, N., Dienlin, T., Kruikemeier, S., Sax, M., Boerman, S. C., Strycharz, J., Helberger, N., & de Vreese, C. H. (2018). Understanding the effects of personalization as a privacy calculus: Analyzing self-disclosure across health, news, and commerce contexts†. Journal of Computer-Mediated Communication, 23(6), 370–388. 那么如何获取并精读、理解和掌握这15篇高质量高被引的论文呢？答案是：报名参加【新闻传播学英文文献精读营】 论文资料包已经上传到精读营课程的附件资料包内（如下图），大家购买课程报名后可以按照【新传课程—精读营—相关资料下载】路径提前下载进行阅读，课程开始后，领读老师会带着大家进行详细的论文拆解。
