US 12,455,934 B2
Methods and systems for identifying markers of coordinated activity in social media movements
John W. Kelly, New York, NY (US); Vladimir D. Barash, Somerville, MA (US); and Amruta Jayant Deshpande, Highland Park, NJ (US)
Assigned to Graphika Technologies, Inc.
Filed by Graphika Technologies, Inc., New York, NY (US)
Filed on Aug. 8, 2022, as Appl. No. 17/883,005.
Application 17/883,005 is a continuation of application No. 16/442,544, filed on Jun. 16, 2019, granted, now 11,409,825.
Application 16/442,544 is a continuation in part of application No. PCT/US2018/038639, filed on Jun. 20, 2018.
Application 16/442,544 is a continuation in part of application No. 14/832,106, filed on Aug. 21, 2015, granted, now 10,324,598, issued on Jun. 18, 2019.
Application PCT/US2018/038639 is a continuation in part of application No. 13/859,396, filed on Apr. 9, 2013, abandoned.
Application 13/859,396 is a continuation in part of application No. 12/973,296, filed on Dec. 20, 2010, granted, now 8,635,281, issued on Jan. 21, 2014.
Claims priority of provisional application 62/534,172, filed on Jul. 18, 2017.
Claims priority of provisional application 62/522,644, filed on Jun. 20, 2017.
Claims priority of provisional application 62/040,075, filed on Aug. 21, 2014.
Claims priority of provisional application 61/760,652, filed on Feb. 5, 2013.
Claims priority of provisional application 61/621,845, filed on Apr. 9, 2012.
Claims priority of provisional application 61/287,766, filed on Dec. 18, 2009.
Prior Publication US 2022/0391460 A1, Dec. 8, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. G06F 16/906 (2019.01); G06F 16/9536 (2019.01); G06Q 50/00 (2012.01); H04L 51/52 (2022.01)
CPC G06F 16/9536 (2019.01) [G06F 16/906 (2019.01); G06Q 50/01 (2013.01); H04L 51/52 (2022.05)] 20 Claims
OG exemplary drawing
 
1. A method for analyzing a social media campaign, the method comprising:
receiving social media data to identify a cluster associated with the social media campaign and a plurality of social media accounts;
analyzing the social media data to generate a plurality of metrics corresponding to the social media campaign, the plurality of metrics including:
(i) a network dimension metric representing how user accounts of the plurality of social media accounts are connected,
(ii) a temporal dimension metric representing patterns of messages associated with the user accounts over a time period, and
(iii) a semantic diversity metric representative of a diversity of topics or meanings in the social media campaign, wherein the semantic diversity metric is generated by assigning a topic to each of the messages associated with the user accounts over the time period;
storing, in a storage device, a data structure for the social media campaign corresponding to the plurality of social media accounts, wherein the data structure includes the network dimension metric, the temporal dimension metric, and the semantic diversity metric;
receiving a request from an external system for an analysis based on the plurality of metrics;
retrieving, in response to the request, at least a portion of the data structure; and
transmitting, to the external system, the at least portion of the data structure to cause the external system to display data indicative of whether the social media campaign is a fabricated campaign or is associated with normal human activity based on the at least portion of the data structure.