Abstract: The technology provides a computing device having a human presence sensor module. An image sensor of the human presence sensor module captures imagery, and the imagery is not disseminated outside of the human presence sensor module to another part of the computing device. One or more machine learning models, each trained to identify whether one or more persons are present in the imagery, are retrieved from memory within the human presence sensor module. The imagery received from the image sensor is processed using the one or more machine learning models to determine whether one or more persons are present in the imagery. Upon detection that one or more persons are present in the imagery, the human presence sensor module issues a signal to an operating system of the computing device so that the computing device can respond to that presence by performing one or more actions.

Abstract: Methods, systems, and computer programs are presented for an online community management system. One method includes detecting that a user has interacted with a post on a social network. The social network provides a plurality of entity contents. Further, the method includes determining a topic of the post based on content of the post. The method includes recommending following a related entity content of the plurality of entity contents to the user in response to determining that the topic is associated with the related entity content, the user is not following the related entity content, one or more users of the social network have posted in connection with the related entity content within a threshold amount of time, and the user is not blocked from accessing the related entity content.

Abstract: Methods, systems, and computer programs are presented for an online community management system. One method includes detecting that a user has interacted with a post on a social network. The social network provides a plurality of entity contents. Further, the method includes determining a topic of the post based on content of the post. The method includes recommending following a related entity content of the plurality of entity contents to the user in response to determining that the topic is associated with the related entity content, the user is not following the related entity content, one or more users of the social network have posted in connection with the related entity content within a threshold amount of time, and the user is not blocked from accessing the related entity content.

Abstract: Methods, systems, and computer programs are presented for an online community management system. One method includes an operation for detecting a post on a social network, where the post is associated with an article. The social network has a plurality of entity pages associated with respective entities. Further, the method includes operations for determining a topic of the article based on a content of the article, and for determining whether the topic is associated with a related entity page on the social network. The related entity page is recommended to a user accessing the post when the topic is associated with the related entity page.

Abstract: Methods, systems, and computer programs are presented for an online community management system. One method includes an operation for detecting a post on a social network, where the post is associated with an article. The social network has a plurality of entity pages associated with respective entities. Further, the method includes operations for determining a topic of the article based on a content of the article, and for determining whether the topic is associated with a related entity page on the social network. The related entity page is recommended to a user accessing the post when the topic is associated with the related entity page.