Update

• We are extending the list to other languages: es, pt, ca.
• Reviewing outreaching applications that will help on creating the machine readable dataset.

Update

• We have selected one Outreachy intern that will start on December. The intern will help on the task of developing the machine readable dataset.

Update

• Kay (outreachy intern) has started her work based on the templates listed in this WikiProject.
• We are exploring techniques to get negative examples (cases were the problem has been solved) for these templates.

Updates

• We have analyzed the impact of reverts on negative examples (reliability issue being solved)
• We have already created an heuristic to find negatives examples.
• We have created an initial dataset 80 templates.
• Currently we identifying relevant meta-data (ie. pre-computed features) to be added on the dataset.

Updates

• New metadata has been added to the dataset: We are differentiating templates at article, section, and inline level.

Updates

• We have announced the datasets in a presentation to the NLP group in the University of Cambridge.
• Currently working on documenting the datasets.

Updates

• The datasets will be published next week.

Updates

• Wiki-Reliability: A Large Scale Dataset for Content Reliability on Wikipedia, has been published in Figshare.
• The documentation about this dataset can be found here.
• We also wrote a paper and submited to a peer-reviewed venue.
• The Outreachy internship has been successfully completed.

Updates

• Information updated on betterworks.

Updates

• No updates.

Updates

• No updates

*Updates*

• We are preparing the camera ready version for SIGIR.

Updates

• The CR version was submitted.
• We have uploaded the paper on arxiv, it should be available next week.

Updates

• The paper is published at SIGIR and available here: https://arxiv.org/pdf/2105.04117.pdf