Social Media and News: Content Bundling and News Quality

社会化媒体 危害 垄断 数字内容 广告 互联网 质量(理念) 报纸 业务 营销 经济 政治学 计算机科学 万维网 法学 哲学 认识论 市场经济
作者
Alexandre de Cornière,Miklós Sárváry
出处
期刊:Management Science [Institute for Operations Research and the Management Sciences]
卷期号:69 (1): 162-178 被引量:46
标识
DOI:10.1287/mnsc.2022.4341
摘要

The growing influence of internet platforms acting as content aggregators is one of the most important challenges facing the media industry. We develop a simple model to understand the impact of third-party content bundling by a social platform that has a monopoly on showing user-generated content to consumers. In our model, consumers can access news either directly through a newspaper’s website or indirectly through a platform, which also offers social content. We show that content bundling, when unilaterally implemented by the platform, tends to harm publishers and to increase the dispersion of quality across outlets, with initially high-quality outlets investing more and low-quality ones investing less. With many heterogenous newspapers, the result is robust even if each newspaper can prevent the platform from using its content. When content bundling follows an agreement between the platform and publisher, its effects are reversed, as publishers’ profits go up while quality dispersion goes down. In a setup with heterogeneous consumers, we also show that the platform’s ability to personalize the mix of content it shows to users induces publishers to invest more in the quality of their content. This paper was accepted by Dmitri Kuksov, marketing. Funding: The authors thank the Net Institute for financial support. A. de Cornière acknowledges funding from Agence Nationale de la Recherche [Grant ANR-17-EUR-0010 (Investissements d'Avenir Program)], the Toulouse School of Economics Digital Center, and the Artificial and Natural Intelligence Toulouse Institute. Supplemental Material: The online appendix is available at https://doi.org/10.1287/mnsc.2022.4341 .
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
领导范儿应助ppat5012采纳,获得10
刚刚
拼搏的帆布鞋完成签到,获得积分20
1秒前
1秒前
sunrise完成签到,获得积分10
2秒前
2秒前
科研通AI6.4应助tuo采纳,获得10
2秒前
高大的小蜜蜂完成签到,获得积分10
2秒前
Estrella完成签到,获得积分10
2秒前
好奇好奇哇完成签到,获得积分20
2秒前
3秒前
情怀应助我是哑巴采纳,获得10
3秒前
3秒前
Ning发布了新的文献求助10
3秒前
Mn发布了新的文献求助10
3秒前
bai发布了新的文献求助10
4秒前
谢大喵应助祖曼易采纳,获得10
4秒前
ljkshr完成签到,获得积分10
4秒前
4秒前
NexusExplorer应助qsr采纳,获得10
4秒前
醉了只鹿完成签到,获得积分10
4秒前
Zcz发布了新的文献求助10
5秒前
Estrella发布了新的文献求助30
5秒前
zqc应助hr采纳,获得10
5秒前
5秒前
乐乐应助DL采纳,获得10
5秒前
冰儿菲菲完成签到,获得积分10
6秒前
6秒前
vioviolviolet完成签到,获得积分10
6秒前
人潮拥挤发布了新的文献求助10
6秒前
小橘子发布了新的文献求助10
7秒前
7秒前
热心飞雪完成签到,获得积分10
7秒前
everyone_woo发布了新的文献求助10
7秒前
7秒前
7秒前
8秒前
11发布了新的文献求助10
8秒前
8秒前
淡淡的完成签到,获得积分10
8秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Kinesiophobia : a new view of chronic pain behavior 2000
Burger's Medicinal Chemistry, Drug Discovery and Development, Volumes 1 - 8, 8 Volume Set, 8th Edition 1800
Cronologia da história de Macau 1600
Contemporary Debates in Epistemology (3rd Edition) 1000
International Arbitration Law and Practice 1000
文献PREDICTION EQUATIONS FOR SHIPS' TURNING CIRCLES或期刊Transactions of the North East Coast Institution of Engineers and Shipbuilders第95卷 1000
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 纳米技术 计算机科学 化学工程 生物化学 物理 复合材料 内科学 催化作用 物理化学 光电子学 细胞生物学 基因 电极 遗传学
热门帖子
关注 科研通微信公众号,转发送积分 6154886
求助须知:如何正确求助?哪些是违规求助? 7983345
关于积分的说明 16588153
捐赠科研通 5265292
什么是DOI,文献DOI怎么找? 2809651
邀请新用户注册赠送积分活动 1789842
关于科研通互助平台的介绍 1657448