Towards a large-scale twitter observatory for political events
نویسندگان
چکیده
منابع مشابه
Towards Passive Political Opinion Polling using Twitter
Social media platforms, such as Twitter, provide a forum for political communication where politicians broadcast messages and where the general public engages in the discussion of pertinent political issues. The open nature of Twitter, together with its large volume of traffic, makes it a useful resource for new forms of ‘passive’ opinion polling, i.e. automatically monitoring and detecting whi...
متن کاملLarge Scale Implementations for Twitter Sentiment Classification
Sentiment Analysis on Twitter Data is indeed a challenging problem due to the nature, diversity and volume of the data. People tend to express their feelings freely, which makes Twitter an ideal source for accumulating a vast amount of opinions towards a wide spectrum of topics. This amount of information offers huge potential and can be harnessed to receive the sentiment tendency towards these...
متن کاملTowards Automating Analysis of Large-Scale Honeynet Events
Inspired by the work of Yegneswaran and colleagues on “Internet situational awareness” [30], we investigate ways to analyze data captured by honeynets—unused address blocks on which we deploy honeypot responders in order to elicit information about incoming probes—to understand the significance of large-scale “events” seen by the honeynet. In such events, an entire collection of remote hosts to...
متن کاملTowards Realization of Large-Scale Botnet Probing Events
ISSN 2250 – 110X | © 2011 Bonfring Abstract--Today’s attack scenery is governed by Botnets. Botnet refer to a group of bots—a sort of malware which allows an attacker to achieve complete control over the affected computer. Botnets are often run by malicious programmers with specific skills while advanced attackers manage the control channel. This work is to understand the consequence of large-s...
متن کاملReputation Systems for News on Twitter: A Large-Scale Study
Social networks offer a ready channel for fake and misleading news to spread and exert influence. This paper examines the performance of different reputation algorithms when applied to a large and statistically significant portion of the news that are spread via Twitter. Our main result is that simple algorithms based on the identity of the users spreading the news, as well as the words appeari...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Future Generation Computer Systems
سال: 2020
ISSN: 0167-739X
DOI: 10.1016/j.future.2019.10.013