Abstract: Described herein are various technologies pertaining to presenting search results to a user, wherein the search results are messages generated by way of social networking applications. An interactive graphical object is presented together with retrieved messages, and messages are filtered responsive to interactions with the interactive graphical object. Additionally, a graphical object that is indicative of credibility of a message is presented together with the message.

Abstract: Described herein are various technologies pertaining to presenting search results to a user, wherein the search results are messages generated by way of social networking applications. An interactive graphical object is presented together with retrieved messages, and messages are filtered responsive to interactions with the interactive graphical object. Additionally, a graphical object that is indicative of credibility of a message is presented together with the message.

Abstract: Described herein are various technologies pertaining to presenting search results to a user, wherein the search results are messages generated by way of social networking applications. An interactive graphical object is presented together with retrieved messages, and messages are filtered responsive to interactions with the interactive graphical object. Additionally, a graphical object that is indicative of credibility of a message is presented together with the message.

Abstract: The author ranking technique described herein is a technique to rank authors in social media systems along various dimensions, using a variety of statistical methods for utilizing those dimensions. More particularly, the technique ranks authors in social media systems through a combination of statistical techniques that leverage usage metrics, and social and topical graph characteristics. In various exemplary embodiments, the technique can rank author authority by the following: 1) temporal analysis of link sharing in which authority is computed based on a user's propensity to provide early links to web pages that subsequently become popular; 2) topical authority based on the author's links and content updates in specific topic areas; and 3) popularity and influence based on nodal properties of authors.

Abstract: Described herein are various technologies pertaining to presenting search results to a user, wherein the search results are messages generated by way of social networking applications. An interactive graphical object is presented together with retrieved messages, and messages are filtered responsive to interactions with the interactive graphical object. Additionally, a graphical object that is indicative of credibility of a message is presented together with the message.

Abstract: A social newsfeed being delivered to a user is triaged. A personalized model is established which predicts the importance to the user of data elements within a current social newsfeed being delivered to the user. The personalized model is established based on implicit actions the user takes in response to receiving previous social newsfeeds. The personalized model is then used to triage the data elements within the current social newsfeed.

Abstract: Described herein are various technologies pertaining to presenting search results to a user, wherein the search results are messages generated by way of social networking applications. An interactive graphical object is presented together with retrieved messages, and messages are filtered responsive to interactions with the interactive graphical object. Additionally, a graphical object that is indicative of credibility of a message is presented together with the message.

Abstract: A system that facilitates computation of a time-dependent variability value is described herein. The system includes a receiver component that receives a plurality of items, wherein each item has a timestamp corresponding thereto. The system further includes a value generator component that outputs a time-dependent variability value for an item in the plurality of items, wherein the time-dependent variability value is indicative of a recent frequency of use of the item in comparison to a frequency of use of the item over a defined period of time.

Abstract: The author ranking technique described herein is a technique to rank authors in social media systems along various dimensions, using a variety of statistical methods for utilizing those dimensions. More particularly, the technique ranks authors in social media systems through a combination of statistical techniques that leverage usage metrics, and social and topical graph characteristics. In various exemplary embodiments, the technique can rank author authority by the following: 1) temporal analysis of link sharing in which authority is computed based on a user's propensity to provide early links to web pages that subsequently become popular; 2) topical authority based on the author's links and content updates in specific topic areas; and 3) popularity and influence based on nodal properties of authors.

Abstract: A system that facilitates computation of a time-dependent variability value is described herein. The system includes a receiver component that receives a plurality of items, wherein each item has a timestamp corresponding thereto. The system further includes a value generator component that outputs a time-dependent variability value for an item in the plurality of items, wherein the time-dependent variability value is indicative of a recent frequency of use of the item in comparison to a frequency of use of the item over a defined period of time.