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Motti Zohar: Extracting location from tweets
MP3•Episode home
Manage episode 442653387 series 2628931
Content provided by Ed Freyfogle. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Ed Freyfogle or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
Join Steven as he discusses his two favourite things with Dr. Motti Zohar, a geographer specialising in geoinformation and spatial analysis. Motti describes in great detail how he and his team have been able to extract the location of tweets. Only 1-3% of tweets have coordinates, Motti’s methods can increase that number to approximately 15%. How might this be useful? Well for one, distinguishing which tweets come from users that are actually near the event or phenomenon can help to resolve or filter out fake news. They can also analyse how people use Twitter during natural hazard events such as wildfires or floods. Motti spoke about this topic at the recent first ever Geomob Tel Aviv in April 2022. Listen to the fascinating discussion and learn more about the process of location extraction.
Show notes on the Geomob website, where you can also learn more about Geomob events and sign up for our monthly newsletter.
254 episodes
MP3•Episode home
Manage episode 442653387 series 2628931
Content provided by Ed Freyfogle. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Ed Freyfogle or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
Join Steven as he discusses his two favourite things with Dr. Motti Zohar, a geographer specialising in geoinformation and spatial analysis. Motti describes in great detail how he and his team have been able to extract the location of tweets. Only 1-3% of tweets have coordinates, Motti’s methods can increase that number to approximately 15%. How might this be useful? Well for one, distinguishing which tweets come from users that are actually near the event or phenomenon can help to resolve or filter out fake news. They can also analyse how people use Twitter during natural hazard events such as wildfires or floods. Motti spoke about this topic at the recent first ever Geomob Tel Aviv in April 2022. Listen to the fascinating discussion and learn more about the process of location extraction.
Show notes on the Geomob website, where you can also learn more about Geomob events and sign up for our monthly newsletter.
254 episodes
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