These discourses, which are sometimes assisted by bots, can create a potential influence on audiences and their trust in mainstream media and understanding of what fake news is. Though the data reported here do not prove direct effects, the implications of the research provide a vital framework for assessing and diagnosing the networked spammers and main actors that have been pivotal in shaping discourses around fake news on social media. The research study is limited to the examination of Twitter data, while ethnographic methods like interviews or surveys are further needed to complement these findings. The most used words and hashtags show that major news organizations are frequently referenced with a focus on CNN that is often mentioned in negative ways. The majority of the top 50 Twitter users are more likely to be automated bots, while certain users’ posts like that are sent by President Donald Trump dominate the most retweeted posts that always associate mainstream media with fake news. Bot detection tools were employed, and the most retweeted posts, most mentions and most hashtags as well as the top 50 most active users in terms of the frequency of their tweets were analyzed. Tweets referencing the hashtag (#fakenews) were collected for a period of over one year from January 3 to May 7 of 2018. The purpose of this paper is to examine one of the largest data sets on the hashtag use of #fakenews that comprises over 14m tweets sent by more than 2.4m users. By the time of our study, 80 attack accounts we identified have been confirmed by DApp teams, causing 828,824 EOS tokens losses (roughly \$2.6 million) in total. We discover thousands of bot accounts (over 30% of the accounts in the platform) and a number of real-world attacks (301 attack accounts).
![trafficbot crack trafficbot crack](https://i.pinimg.com/originals/e3/b5/fb/e3b5fb0c30cfd61a29b4962048e67adb.png)
Using our insights, we then develop techniques to automatically detect bots and fraudulent activity. We gather a large-scale dataset of EOSIO and characterize activities including money transfers, account creation and contract invocation. In this paper, we perform a large-scale measurement study of the EOSIO blockchain and its associated DApps.
![trafficbot crack trafficbot crack](https://www.0mmo.net/uploads/posts/2019-04/1556555273_trafficbotpro2.png)
Although EOSIO has millions of accounts and billions of transactions, little is known about its ecosystem, especially related to security and fraud. In contrast to the traditional PoW-based systems (e.g., Bitcoin and Ethereum), which are limited by low throughput, EOSIO is the first high throughput Delegated Proof of Stake system that has been widely adopted by many decentralized applications. EOSIO has become one of the most popular blockchain platforms since its mainnet launch in June 2018.