In the origin detection problem an algorithm is given a set S of documents, ordered by creation time, and a query document D. It needs to output for every consecutive sequence of k alphanumeric terms in D the earliest document in S in which the sequence appeared (if such a document exists). Algorithms for the origin detection problem can, for example, be used to detect the "origin" of text segments in D and thus to detect novel content in D. They can also find the document from which the author of D has copied the most (or show that D is mostly original.)We propose novel algorithms for this problem and evaluate them together with a large number of previously published algorithms. Our results show that (1) detecting the origin of text segments efficiently can be done with very high accuracy even when the space used is less than 1% of the size of the documents in S, (2) the precision degrades smoothly with the amount of available space, (3) various estimation techniques can be used to increase the performance of the algorithms.

<p>Conspiracism is a well‐known topos in the history of humankind. Cassius Dio wrote about it as did anti‐Judaic authors in the Middle Ages. Nevertheless, from the dawn of modernity until today, we have faced the rise of a new phenomenon. Pretty much on the eve of the French Revolution, conspiracists began to tell anti‐Catholic and anti‐masonic narratives down to the last detail. Jews, later on, became a recurring foe in those anti‐modernist narratives. Conspiracism managed successfully to incorporate other forms of anti‐modernism to form a fairly new form of thinking that I call “conspiracist ideology.” While Enlightenment was the setting in which this amalgamation could take place, conspiracist ideology and its intellectual roots were characterized by a deep rejection of enlightenment thinking. The dialectical nature of conspiracist ideology is what makes it interesting from a historical perspective, in particular for the history of ideas.</p>

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