Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Crowdsourcing is often used to solicit contributions from an online community for ideas, evaluation and opinions. Hover, spamming can pollute such a system and manipulate the results of crowdsourcing. For detection of those spammers, the training data used in previous studies is often derived by experts labeling collected data and manually identifying spammers. The reliability of such training data is questionable. ,  utilize two b based service providers Zhubajie (ZBJ) and Sandaha (SDH) and obtain reliable data about the spammers.  use such data to investigate the crowd-reteting spam in Sina ibo.  analyze profile features, social relationship and reteting behavior of such spammers.  find that although these spammers are likely to connect more closely than legitimate users, the underlying social tie is different from the social relationship in other spam campaigns because of the unique reteting features with the information cascade effect. Based on these findings,  propose reteting-aware link based ranking algorithms to detect suspect spam accounts using seeds of identified spammers. Our evaluation shows that our algorithm is more effective than other link-based methods.
['Bo Liu', 'Junzhou Luo', 'Jiuxin Cao', 'Xudong Ni', 'Benyuan Liu', 'Xinwen Fu']
I am writing a research paper on a idea On crowd-retweeting spamming campaign in social networks
[{"from": "human", "value": "I am writing a research paper on a idea On crowd-retweeting spamming campaign in social networks"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Crowdsourcing is often used to solicit contributions from an online community for ideas, evaluation and opinions. Hover, spamming can pollute such a system and manipulate the results of crowdsourcing. For detection of those spammers, the training data used in previous studies is often derived by experts labeling collected data and manually identifying spammers. The reliability of such training data is questionable. ,  utilize two b based service providers Zhubajie (ZBJ) and Sandaha (SDH) and obtain reliable data about the spammers.  use such data to investigate the crowd-reteting spam in Sina ibo.  analyze profile features, social relationship and reteting behavior of such spammers.  find that although these spammers are likely to connect more closely than legitimate users, the underlying social tie is different from the social relationship in other spam campaigns because of the unique reteting features with the information cascade effect. Based on these findings,  propose reteting-aware link based ranking algorithms to detect suspect spam accounts using seeds of identified spammers. Our evaluation shows that our algorithm is more effective than other link-based methods."}]