AI 中文总结
研究社交媒体平台传播范围分配问题，通过网络协调博弈，分析放大对信息接收与协调参考的影响，得出广播预算下准确性取决于总放大精度，还给出源排名规则、放大阈值，指出简化目标会致网络隔离、准确性降低，揭示放大价值受多因素影响。
AI 中文摘要
社交媒体平台分配传播范围，决定谁的内容能广泛可见。我们将此作为网络协调博弈中的信息流/参考设计来研究，其中用户追踪未知状态、与他人协调并持有有偏差的理想行动。放大既改变了接收信息的人，也改变了成为显著协调参考的人。使一个私人信号普遍可观察会增加第二个公共信号，并消除公共信号精度中真相追踪准确性通常的非单调性；在广播预算下，准确性仅取决于总放大精度。对于任何有限网络和偏差，网络干预对准确性的影响精确地分解为信息增益和由Katz - Bonacich影响重叠矩阵控制的二次偏差成本，产生精确的源排名规则和封闭形式的放大阈值。简化形式的参与度目标反而有利于验证同类型链接，产生更多隔离的网络和更低的准确性。放大的价值共同取决于信息、偏差传播和平台目标。
英文摘要
Social-media platforms allocate attention by deciding whose content receives reach. We study this problem in a network coordination model in which users learn from observed signals but also care about coordinating with others. Amplifying a source, therefore, spreads information while potentially making that source a more influential coordination reference. For any finite directed network, we show that the effect of an intervention on truth-tracking accuracy decomposes into an information gain and a change in network-amplified bias risk. The latter depends on how sources' influence profiles interact with the network's entire bias composition, so the most informative source need not be the best source to amplify. Broadcasting can improve the use of common information, while amplification of directionally biased sources can reduce accuracy. Integrated communities can outperform segregated ones; users may reject informative cross-cutting links, and engagement-oriented platforms may favor connections that reduce collective accuracy.
CommentsThis manuscript substantially revises and supersedes an earlier working paper circulated since 2020 under the title "Can a social planner manipulate network dynamics and solve coordination problems?'' (SSRN No.~3587024)
