Identifying misinformation (i.e. rumors) is a growing field of research in the information systems field. This is due to the fact that during recent tragedies (i.e. Boston Bombings, Ebola, etcetera), rumors spread rapidly on social media platforms, which will hide the facts about an event. This results in rumors being spread even more, further hiding the events. In this study, we draw from rese...

The explosive evolution of the internet has paved path for rise social networks, which can help people connect remotely. Currently, networks are commonly used sharing thoughts, feelings, information, and personal life, vary from individual to individual. world witnessed a tremendous increase in media usage last decade, more expected spend their time online after COVID-19 pandemic. This increase...

The Rumor Categorizer Software (RCS), an open-source software, categorizes Twitter posts based on their stance towards a given rumor into six categories; tweet, anti-rumor retweet, rumor-related and retweet. Then for the publishers of those tweets/retweets, analyze user dynamics. Furthermore, software calculates number users belonging to any combination sextuple categories plots tweets/retweets...

To identify sources of distributed denial-of-service attacks, path traceback mechanisms have been proposed. Traceback mechanisms relying on probabilistic packet marking (PPM) have received most attention, as they are easy to implement and deploy incrementally. In this paper, we introduce a new concept, namely Groups Of Strongly SImilar Birthdays (GOSSIB), that can be used by to obtain effects s...

The paper studies the effects of new product rumors about iPhone on stock price Apple company. We scrape from Macrumors.com, and obtain a dataset covering 1,264 articles containing 180 words average between January 2002 December 2015. Moreover, we construct market-decided lexicon to transform qualitative information into quantitative data, analyze what type embedded in are apt impact Apple’s pr...

During crisis events, people often seek out event-related information to stay informed of what is happening. However, when information from official channels is lacking or disseminated irregularly, people may be at risk for exposure to rumors that fill the information void. We studied information-seeking during a university lockdown following an active-shooter event. In study 1, students in the...

Gossip protocols have been shown to be a useful tool in the development of simple, robust, and efficient distributed systems. This thesis addresses a number of problems associated with gossip protocols, including dealing with the failure of a large fraction of the hosts in a system, accommodating the topology of the underlying network, improving the efficiency of information exchange between ho...

We study the problem of computing a minimum time schedule to spread rumors in a given graph under several models: In the radio model, all neighbors of a transmitting node listen to the messages and are able to record it only when no other neighbor is transmitting; In the wireless model (also called the edge-star model), each transmitter is at a different frequency to which any neighbor can tune...