Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Extracting news on specific topics from the Twitter microblogging site poses formidable challenges, which include handling millions of tets posted daily, judging topicality and importance of tets, and ensuring trustworthiness of results in the face of spam. To date, all scalable approaches have relied on crowd wisdom, i.e., keyword-matching on the global tet stream to gather relevant tets, and crowd- endorsements to judge the importance of tets.  propose a fundamentally different methodology -- for a given topic,  identify trustworthy experts on the topic, and extract news-stories that are most popular among the experts. Comparing the crowd-based and expert-based methodologies,  demonstrate that the news-stories obtained by our methodology (i) have higher relevance for a wide variety of topics, (ii) achieve very high coverage of important news-stories posted globally in Twitter, and (iii) are far more trustworthy. Using our methodology,  implemented and publicly deployed a topical news system for Twitter, which can extract news-stories on thousands of topics.
['Muhammad Bilal Zafar', 'Parantapa Bhattacharya', 'Niloy Ganguly', 'Saptarshi Ghosh', 'Krishna P. Gummadi']
I am writing a research paper on a idea On the Wisdom of Experts vs. I am writing a research paper on a idea Crowds: Discovering Trustworthy Topical News in Microblogs
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