论文标题
利用权利：使用共享图像推断在线影响运动中的意识形态一致性
Exploiting the Right: Inferring Ideological Alignment in Online Influence Campaigns Using Shared Images
论文作者
论文摘要
这项工作通过将Twitter确定的帐户分享的图像描述为这类活动的一部分，对代理商在虚假信息活动中共享的视觉媒体进行调查。使用美国政客的Twitter帐户共享的图像作为基线和培训集，我们构建了使用他们共享的图像来推断帐户意识形态呈现的模型。结果表明，尽管我们的模型恢复了美国政客的预期双峰意识形态分布，但我们发现，平均而言，在他们共享的图像中，均表现出四个独立的影响运动 - 归因于伊朗，俄罗斯，中国和委内瑞拉。鉴于先前的工作已经显示了俄罗斯虚假信息代理使用的Twitter帐户在他们共享的文本和新闻中在意识形态上是多样的，因此这些面向图像的发现为潜在的协调轴提供了新的见解，并建议这些帐户可能不会在跨模态上表现出一致的意识形态立场。
This work advances investigations into the visual media shared by agents in disinformation campaigns by characterizing the images shared by accounts identified by Twitter as being part of such campaigns. Using images shared by US politicians' Twitter accounts as a baseline and training set, we build models for inferring the ideological presentation of accounts using the images they share. Results show that, while our models recover the expected bimodal ideological distribution of US politicians, we find that, on average, four separate influence campaigns -- attributed to Iran, Russia, China, and Venezuela -- all present conservative ideological presentations in the images they share. Given that prior work has shown Twitter accounts used by Russian disinformation agents are ideologically diverse in the text and news they share, these image-oriented findings provide new insights into potential axes of coordination and suggest these accounts may not present consistent ideological positions across modalities.
