| CPC G06F 3/04817 (2013.01) [G06F 3/0482 (2013.01); G06F 3/04842 (2013.01); G06F 3/0488 (2013.01); G06F 16/248 (2019.01); G06F 16/29 (2019.01); G06F 16/487 (2019.01); G06F 16/9535 (2019.01); G06F 16/9537 (2019.01); G06Q 50/01 (2013.01); G06T 11/206 (2013.01); G06T 11/60 (2013.01); H04L 41/22 (2013.01); H04L 41/28 (2013.01); H04L 51/52 (2022.05); H04L 63/101 (2013.01); H04L 63/107 (2013.01); H04L 67/12 (2013.01); H04L 67/306 (2013.01); H04L 67/52 (2022.05); H04L 67/535 (2022.05); H04W 4/02 (2013.01); H04W 4/029 (2018.02); H04W 4/185 (2013.01); H04W 4/21 (2018.02); H04W 12/02 (2013.01); G06F 9/547 (2013.01); G06T 2200/24 (2013.01)] | 20 Claims |

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1. A method comprising:
accessing current activity data indicative of current user activity with respect to posting of social media content to a social media platform within a current time window limited to a predefined preceding time period, the social media content comprising social media items associated with respective geographical locations within a geographical area, a geographical distribution of the current user activity thus being indicated by the current activity data;
in an automated operation based on the current activity data and performed using an analyzer comprising one or more computer processor devices configured therefor, calculating a respective anomality metric value for each one of multiple predefined constituent map portions of the geographical area, each anomality metric value quantifying, for a respectively corresponding one of the map portions, unusualness in volume of current user activity relative to historical user activity for the corresponding map portion, each anomality metric value being based at least in part on a deviation between:
location-associated current user activity represented by the current activity data in the corresponding map portion; and
a statistical representation of historical user activity in the corresponding map portion for a corresponding time window historically, the historical user activity being indicated by historical activity data;
ranking the predefined constituent map portions according to the respective anomality metric values; and
based on the ranking, surfacing one or more subsets of the social media content in a graphical user interface for the social media platform.
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