Home / Research Library / Proceedings of the 45th International ACM SIGIR Co...
🤖 Artificial Intelligence OpenAlex

Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval

📅 July 6, 2022 👤 Azzopardi, Leif, Briggs, Jo, Duheric, Melissa et al. 📖 Research Journal 📊 908 citations

🤖 Plain-English Summary

Searching for people online is a common search task that most of us have performed at some point or other. The demonstrator also comprises a cyber-safety tool, which aims to provide education and raise awareness of the potential risks of cumulative revelations.

🔑 Key Findings

  • With so much information about people available online it is often amazing what one can find out about someone else -- especially when information taken from different sources is pieced together to create a more detailed picture of the individual, and then used to make inferences about them (leading to cumulative revelations ).
  • As such, the relevance of one piece of information is often conditional and dependent on other pieces of information found.
  • This creates interesting and novel challenges in evaluating informationrelevance when searching personal profiles, posts and related information about an individual, as well as the potential risks that can arise from such revelations.

💡 Why This Matters

This research advances how AI systems learn, reason, and solve problems — with direct implications for automation and scientific discovery.

Read the full paper
Access the original peer-reviewed research via OpenAlex.

View on DOI ↗

📋 Article Details

Category 🤖 Artificial Intelligence
Published Jul 06, 2022
Journal Research Journal
Authors Azzopardi, Leif, Briggs, Jo, Duheric, Melissa, Nash, Callum, Nicol, Emma
DOI 10.1145/3477495
Citations 908
Source OpenAlex

More 🤖 Artificial Intelligence Research