新闻搜索中的新颖性：2020年美国大选的纵向研究
Novelty in news search: a longitudinal study of the 2020 US elections
AI总结：
本研究通过纵向分析2020年美国大选期间五个搜索引擎的新闻搜索结果，发现选举相关查询的新颖性更高，并揭示了不同搜索引擎和地区间存在的候选人可见性不平衡问题。
摘要：
2020年美国大选的新闻报道非常广泛，新信息快速产生。这种不断演变的场景为研究搜索引擎的性能提供了机会，因为它们必须在信息发布时快速处理信息。我们分析新颖性，即在顶级新闻搜索结果中出现的新项目的度量，以比较不同主题的覆盖率和可见性。我们对从两个地区（美国俄勒冈州和德国法兰克福）收集的五个搜索引擎的新闻结果进行了纵向研究，数据收集以短脉冲方式进行（每21分钟一次），从选举日开始，直到宣布拜登为获胜者后一天结束。我们发现，与主题性（例如“coronavirus”）或稳定性（例如“holocaust”）查询相比，选举相关查询（“joe biden”、“donald trump”和“us elections”）出现了更多新项目。我们展示了搜索引擎和地区随时间的差异，并强调了候选人查询之间的不平衡。在新闻搜索方面，搜索引擎应对这种不平衡负责，这可能是由于其算法或其依赖的新闻来源集。我们认为，这种不平衡影响了选举期间政治候选人在新闻搜索中的可见性。
英文摘要：
The 2020 US elections news coverage was extensive, with new pieces of information generated rapidly. This evolving scenario presented an opportunity to study the performance of search engines in a context in which they had to quickly process information as it was published. We analyze novelty, a measurement of new items that emerge in the top news search results, to compare the coverage and visibility of different topics. We conduct a longitudinal study of news results of five search engines collected in short-bursts (every 21 minutes) from two regions (Oregon, US and Frankfurt, Germany), starting on election day and lasting until one day after the announcement of Biden as the winner. We find more new items emerging for election related queries ("joe biden", "donald trump" and "us elections") compared to topical (e.g., "coronavirus") or stable (e.g., "holocaust") queries. We demonstrate differences across search engines and regions over time, and we highlight imbalances between candidate queries. When it comes to news search, search engines are responsible for such imbalances, either due to their algorithms or the set of news sources they rely on. We argue that such imbalances affect the visibility of political candidates in news searches during electoral periods.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
