[PDF] Top 20 Twitter Scanner to Search Malicious URLs for Twitter Users
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Twitter Scanner to Search Malicious URLs for Twitter Users
... on twitter server for proper authentication and to gather the information from ...on twitter. By the quote of that account, twitter provides some master key called as consumer key by the reference of ... See full document
7
Detecting Spam Messages in Twitter Data by Machine learning Algorithms using Cross Validation
... the users to follow their favourite scientists, business men and other eminent ...into twitter network many users misuse the network ...normal users through retweets, url links and hash tags. ... See full document
6
ClaimPortal: Integrated Monitoring, Searching, Checking, and Analytics of Factual Claims on Twitter
... both malicious and un- intentional creators of falsehoods; the falsehoods are further replicated and amplified by social me- dia bots and clickbait ...140,000 Twitter users in the battleground state ... See full document
6
Warning Tweet: A Detection System for Suspicious URLs in Twitter Stream
... the URLs in our data sets have not been listed on a public URL blacklist, such as the Google Safe Browsing API ...used Twitter account status information to label our data ...same URLs and ... See full document
11
Machine Learning Approach for Detection of Malicious Urls and Spam in Social Network
... of users who influenced ...modeled Twitter as directed graph where user accounts are represented by vertices and the type of relationship between users, friend or follower is actuated by the ... See full document
5
Anti-Phishing Method for Detecting Suspicious URLs in Twitter
... attack. Twitter is an online social networking and micro blogging service that enables users to send and read "tweets", which are text messages limited to 140 ...shortened malicious ... See full document
7
The Political Domain Goes to Twitter: Hashtags, Retweets and URLs
... The search term is a key element in the quality of the collec- ...Some search terms were ...Obama Twitter account, was used in about one-fifth as many tweets as mentioned Obama, and there was very ... See full document
8
Location Based Opinion Mining of Real Time Twitter Data
... of users tweeting around the world, real time search systems and different types of mining tools are emerging to allow people tracking the repercussion of events and news on ...allow users to discuss ... See full document
5
Detecting and Preventing Distrustful URL in Multimedia Network
... disseminate malicious tweets quickly and ...the Twitter public ...of users containing URLs and can extract based features as well as other features including user IDs, IP addresses, and ... See full document
5
WarningBird MailAlert Based Malicious URLs Blocker System in Twitter
... the users' ID and the timeline tweets, until having at least 100 genuine ...with URLs and crawling for URL redirections. To collect tweets with URLs and their context information from the ... See full document
6
Modeling Personality Traits of Filipino Twitter Users
... More recent developments involve the shift to analyzing non-English text. This could be seen in the PAN2015 (Rangel et al., 2015), where En- glish, Spanish, Italian, and Dutch Tweets were made available to multiple ... See full document
11
Assessing socioeconomic status of Twitter users: A survey
... Every day, the emotion and opinion of dif- ferent people across the world are reflected in the form of short messages using mi- croblogging platforms. Despite the exis- tence of enormous potential introduced by this data ... See full document
11
Twitter Users #CodeSwitch Hashtags! #MoltoImportante #wow
... Data Hashtag frequencies were calculated from 981M tweets spanning March 2014 to July 2014. Frequencies were calculated over this five month period in order to focus on widely-used hashtags, rather than bursty hashtags ... See full document
11
A Unified Model for Topics, Events and Users on Twitter
... media, Twitter users play important roles in forming topics and events on ...and users can deepen our understand- ing of Twitter content and potentially aid many pred- ication and ... See full document
11
Deep Learning for Depression Detection of Twitter Users
... The metrics used for our evaluation are accu- racy, ROC area-under-the-curve (AUC), precision, recall, and F-measure. We use precision and re- call since data is imbalanced, which may return imprecise accuracy results. ... See full document
10
Real Time Classification of Twitter Trends using Support Vector Machine with Location Tracking
... from Twitter streams postures new difficulties. Twitter streams contain loads of aimless messages and contaminated substance, that adversely influence the identification ... See full document
9
Intellectual, narcissistic, or Machiavellian? How Twitter users differ from Facebook only users, why they use Twitter, and what they tweet about
... that Twitter users have unique personality traits that they express through their tweets and the types of tweets they favour, the current findings have practical implications for individual users, ... See full document
38
Identifying Suspended Accounts In Twitter
... suspended users in Twitter and studied several ap- proaches to predict whether a user will be suspended or ...of twitter, which means their work cannot directly be scaled to the whole twitter ... See full document
88
Learning to Search for Recognizing Named Entities in Twitter
... to search (L2S) approach, which represents a family of algorithms for structured prediction tasks (Daum´e III et ...a search space with states, actions and policies and then learn a hypothesis controlling a ... See full document
7
Impact investing market on Twitter: influential users and communities
... influential users in the category were just 10 out of 170 accounts (6%), and the figure has remained the same, despite the extended ...a Twitter account with 23 million followers and regularly publishes ... See full document
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