1. A computer-implemented method comprising: receiving a plurality of content items posted on pages of a social networking system; determining, by a processor, from the plurality of content items, a subset of content items determined to be high quality content items, the determination of the high quality content items comprising: receiving a user interaction rate associated with each of the plurality of content items posted on the social networking system; responsive to the user interaction rate indicating a positive reaction to the content item, including the content item in the subset as a high quality content item, the user interaction rate indicated as positive reaction when the user interaction rate is higher than or equal to a threshold interaction rate; and responsive to the user interaction rate indicating a negative reaction to the content item, excluding the content item from the subset, the user interaction rate indicated as negative reaction when the user interaction rate is lower than the threshold interaction rate; and for each of the content items of the subset: extracting a first topic from the content item by analyzing terms and phrases of the content item, mapping, by the processor, the extracted first topic to one or more related pages of the social networking system, the one or more related pages include the extracted first topic, and for each of the one or more related pages: identifying a user of the social networking system connected to the related page, and providing the content item in a newsfeed for display to the user.
1. A computer-implemented method comprising: receiving a plurality of content items posted on pages of a social networking system; determining, by a processor, from the plurality of content items, a subset of content items determined to be high quality content items, the determination of the high quality content items comprising: receiving a user interaction rate associated with each of the plurality of content items posted on the social networking system; responsive to the user interaction rate indicating a positive reaction to the content item, including the content item in the subset as a high quality content item, the user interaction rate indicated as positive reaction when the user interaction rate is higher than or equal to a threshold interaction rate; and responsive to the user interaction rate indicating a negative reaction to the content item, excluding the content item from the subset, the user interaction rate indicated as negative reaction when the user interaction rate is lower than the threshold interaction rate; and for each of the content items of the subset: extracting a first topic from the content item by analyzing terms and phrases of the content item, mapping, by the processor, the extracted first topic to one or more related pages of the social networking system, the one or more related pages include the extracted first topic, and for each of the one or more related pages: identifying a user of the social networking system connected to the related page, and providing the content item in a newsfeed for display to the user. 2. The method of claim 1 , wherein the determination of the high quality content items further comprises: computing a quality score representing a lexical quality for each of the plurality of content items and selecting the subset of content items with quality score above a threshold quality score, the quality score inversely related to a number of lexical errors in the content item.