Open gtsueng opened 1 month ago
As mentioned at the meeting dated 2024.09.24, notifying the repositories of spam could be a good opportunity for reaching out to these GREI repositories. We have drafted an email template for such an outreach attempt and a separate issue has been created for it: https://github.com/NIAID-Data-Ecosystem/niaid-feedback/issues/160
Issue Name
Develop methodology for spam detection
Issue Description
Mendeley, Harvard Dataverse, and Zenodo may occasionally get spam submissions. Zenodo has automated spam detection in place which will flag records as spam for removal, though the process can take over a month. It is not clear if Mendeley or Harvard Dataverse are using any sort of automated methods.
Explore the use of LLMs for spam/ad detection
Issue Discussion
This issue as been reported in the Technical reports for July and August 2024
Request Type
Investigation (perform aggregations, analysis, etc.)
Material URL
No response
Related WBS task
https://github.com/NIAID-Data-Ecosystem/nde-roadmap/issues/54
For internal use only. Assignee, please select the status of this issue
Status Description
No response
Request status check list