ASSISTANCE GENERATION FOR USERS OF A SOCIAL NETWORK

• US 20190043147A1
• Filed: 08/02/2017
• Published: 02/07/2019
• Est. Priority Date: 08/02/2017
• Status: Abandoned Application

• Current Assignee: Meta Platforms, Inc. (f/k/a Facebook, Inc.)
• Original Assignee: Meta Platforms, Inc. (f/k/a Facebook, Inc.)
• Inventors: Muriello, Daniel Gregory, Ben-David, Daniel Mark, Guadagno, Jennifer L., Callison-Burch, Vanessa, Tauro, Swithin Ray
• Application Number:
  US15/667,543
• Publication Number:
  US 20190043147A1
• Time in Patent Office: Days
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: G06Q 50/265 Personal security, identity or safety
• CPC Class Codes: H04L 67/306 User profiles
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34

Abstract

Methods, systems, computer-readable media, and apparatuses for determining, by one or more computer devices, metadata of a social network indicating whether a user of a social network requires assistance to mitigate self-injury risk to the user.

Claims

1. A computer system, comprising:

one or more internetworked computer devices, the one or more internetworked computer devices implementing a social network, wherein the one or more internetworked computer devices are configured to;

identify a user action relating to a user on the social network;

obtain values of one or more predetermined features associated with the user action on the social network or the user on the social network;

provide the values of the one or more predetermined features to a classifier implemented on the one or more internetworked computer devices, wherein the classifier is trained using (1) previous values of the one or more predetermined features associated with previous user actions on the social network or users on the social network and (2) known outcomes of prior decisions, based on the previous values, to trigger suicide or self-injury (SSI) risk mitigation activity;

obtain an output from the classifier, the output based on values of the one or more predetermined features associated with the user action or the user; and

based on output from the classifier, in response to the user action, determine to perform one or more responsive actions to mitigate SSI risk to the user.

2. The computer system of claim 1,

wherein the user action is one of a plurality of user actions reported by users of the social network as corresponding to SSI risk;

and

wherein the one or more responsive actions includes prioritizing the user action, among the plurality of user actions, for manual review.

3. The computer system of claim 1, wherein the user action is not reported, by a user of the social network, as relating to SSI risk.

4. The computer system of claim 1, wherein the user action comprises:

posting a content item, by the user, to the social network.

5. The computer system of claim 4, wherein the one or more predetermined features include text from the content item.

6. The computer system of claim 4, wherein the one or more predetermined features include a feature based on a response to the posting of the content item, the response being by another user of the social network.

7. The computer system of claim 6, wherein the other user corresponds to a user profile that is associated, prior to the user action, via the social network, to a user profile of the user.

8. The computer system of claim 1,

wherein the classifier comprises a first tier of at least one sub-classifier and a second tier of at least one sub-classifier, and

wherein the second tier of at least one sub-classifier takes, as inputs, outputs from the first tier of at least one sub-classifier.

9. The computer system of claim 8, wherein at least one of the first tier of at least one sub-classifier is a text-based sub-classifier configured to receive textual input.

10. The computer system of claim 9, wherein at least one of the text-based sub-classifiers is configured to receive, as input, an n-gram of text as part of the one or more predetermined features.

11. The computer system of claim 9, wherein each sub-classifier of the first tier of at least one sub-classifier is configured to output a numeric value relevant to the determining to perform one or more responsive actions to mitigate SSI risk to the user.

12. The computer system of claim 11, wherein the at least one sub-classifier configured to output a numeric value is further configured to receive, as input, a value indicative of a time of day that the user action occurred.

13. The computer system of claim 1, wherein the one or more predetermined features include a group within the social network of which the user is a member, one or more associations of the user within the social network, or biographical information entered to the social network by the user.

14. The computer system of claim 1, wherein the one or more actions to mitigate SSI risk to the user include:

(1) generation of a message addressed to a friend of the user, the message indicating that the user may require assistance;

(2) generation of a message to the user including assistive information for mitigating SSI risk to the user;

(3) generation of a message addressed to the user including contact information for a third party to mitigate SSI risk to the user;

or

(4) generation of a message addressed to authorities to intervene in response to determining that the user requires assistance.

15. The computer system of claim 1, wherein the one or more predetermined features associated with the user on the social network include features contained within a profile on the social network, the profile corresponding to the user.

16. The computer system of claim 1, wherein the known outcomes of prior decisions, based on the previous user actions, to trigger suicide or self-injury (SSI) risk mitigation activity are determined based on manual selection of the outcomes based on the previous values of the one or more predetermined features associated with the previous user actions on the social network.

17. A method, comprising:

identifying, by one or more internetworked computer devices, a user action relating to a user on a social network, wherein the one or more internetworked computer devices implement the social network;

obtaining, by the one or more internetworked computer devices, values of one or more predetermined features associated with the user action on the social network or the user on the social network;

providing, by the one or more internetworked computer devices, the values of the one or more predetermined features to a classifier implemented on the one or more internetworked computer devices;

wherein the classifier is trained using (1) previous values of the one or more predetermined features associated with previous user actions on the social network or users on the social network and (2) known outcomes of prior decisions, based on the previous values, to trigger suicide or self-injury (SSI) risk mitigation activity;

obtaining, by the one or more internetworked computer devices, an output from the classifier, the output based on values of the one or more predetermined features associated with the user action or user; and

based on output from the classifier, determining, in response to the user action, by the one or more internetworked computer devices, to perform one or more responsive actions to mitigate SSI risk to the user.

18. The method of claim 17, further comprising:

periodically updating the classifier with (1) values of the one or more predetermined features associated with previous user actions on the social network and (2) known outcomes of prior decisions, based on the previous user actions, to trigger suicide or self-injury (SSI) risk mitigation activity.

19. The method of claim 17, further comprising:

manually verifying a determination by the by the one or more internetworked computer devices to perform the one or more responsive actions.

20. One or more non-transitory computer-readable media storing computer-executable instructions that, when executed, cause one or more internetworked computer devices to:

identify a user action by a user on a social network, wherein the one or more internetworked computer devices implement the social network;

obtain values of one or more predetermined features associated with the user action on the social network or the user on the social network;

provide the values of the one or more predetermined features to a classifier implemented on the one or more internetworked computer devices;

wherein the classifier is trained using (1) previous values of the one or more predetermined features associated with previous user actions on the social network or users on the social network and (2) known outcomes of prior decisions, based on the previous values, to trigger suicide or self-injury (SSI) risk mitigation activity;

obtain an output from the classifier, the output based on values of the one or more predetermined features associated with the user action or user; and

based on output from the classifier, in response to the user action, determining to perform one or more responsive actions to mitigate SSI risk to the user.