Large expert-curated database for benchmarking document similarity detection in biomedical literature search

Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency–Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical research

The Long-term impact of the location of concentration camps on radical-right voting in Germany

Of all atrocities committed by state actors in 20th century Europe, the systematic killings by Nazi Germany were arguably the most severe and best documented. While several studies have investigated the impact of the presence of concentration camps on surrounding communities in Germany and the occupied territories in terms of redistribution of wealth and property, the local-level impact on voting behaviour has not yet been explored. We investigated the impact of spatial proximity to a concentration camp between 1933 and 1945 on the likelihood of voting for far-right parties in the 2013 and 2017 federal elections. We find that proximity to a former concentration camp is associated with a higher vote share of such parties. A potential explanation for this finding could be a ‘memory satiation effect’, according to which voters who live in close proximity to former camps and are more frequently confronted with the past are more receptive to revisionist historical accounts questioning the centrality of the Holocaust in the German culture of remembrance

The Extreme Right in the June 1999 European Elections

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