Hi Frederik
> * Should we have some MapRoulette task or OSMCha automatism or OSMI view > to detect potential advertising? > > > Detecting these change sets should be quite straightforward. Here is a Keras sample that could be easily modified to process change sets. The model in this example is tiny and could easily be run over all of the change sets every day with a normal laptop, with no GPU. https://github.com/keras-team/keras/blob/master/examples/pretrained_word_embeddings.py The machine learning people are always hungry for more curated datasets. You have done the hard work already by curating a list of spamy changesets. Make a central place where we could keep a list of changesets that are spam, so that if people are interested in writing a changeset spam detector, the time consuming part is done already. A github repository with a two CSV file or json file that has the changeset id, and classification. For now (spam, good), and a python script to download the changeset dumps and lookup the age/changeset count of the user into a local directory would be enough. 12455662,spam 12555662,spam 1245155,good them a download.py file, downloads and writes out data/spam/xxxx,xml and data/good/xxxx.xml etc After we have a bot(s) screening all of the change sets for spam, then many things are possible. Jason
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