Onur Varol
Dados Biográficos
| ID | 275221 |
|---|---|
| NOME | Onur Varol |
| PRENOMES | Onur |
| SOBRENOME | Varol |
| ASSINATURA | VAROL O |
| AFILIAÇÕES | Sabancı Üniversitesi |
| ORCID | 0000-0002-3994-6106 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 14 |
| TOTAL DE CITAÇÕES | 8 |
| TOTAL COMO AUTOR | 14 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2014 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2026 |
| ÍNDICE H | 2 |
From Bias to Brevity
Behavioral observation offers a powerful approach for relationship science but is constrained by coder bias and resource demands. Using a widely employed couple conflict discussion paradigm, we illustrate how these challenges can be addressed. First, we show that thin-slice coding, a method commonly used in zero-acquaintance research, can effectively substitute for full-length observations in already formed relationships. Thin-slice ratings of pa…
Conspiracy theories as instruments of power
The prevalent view associates political disempowerment with increased conspiracy beliefs. However, the function of conspiracy theories for those in power to sustain their dominance is less understood, particularly in ecologically valid and non‐WEIRD ( W estern, E ducated, I ndustrialized, R ich, D emocratic) settings. Our research examined the emergence of conspiracy theories following the 2023 earthquakes in Türkiye and their relation to voting …
Mechanisms Driving Online Vaccine Debate During the Covid-19 Pandemic
The prevalence of the anti-vaccine movement in today's society has become a pressing concern, largely amplified by the dissemination of vaccine skepticism. During the early stages of the COVID-19 pandemic, the vaccination debate sparked controversial debates on social media platforms such as Twitter, which can lead to serious consequences for public health. What determines anti-vax attitudes is an important question for understanding the source o…
Information access equality on generative models of complex networks
It is well known that networks generated by common mechanisms such as preferential attachment and homophily can disadvantage the minority group by limiting their ability to establish links with the majority group. This has the effect of limiting minority nodes’ access to information. We present the results of an empirical study on the equality of information access in network models with different growth mechanisms and spreading processes. For gr…
The Role of Legacy Media and Social Media in Increasing Public Engagement About Violence Against Women in Turkey
Evidence that women have paid the price of what has been labeled the 'shadow pandemic' is found in the increase in violence against them. The rates of femicide and lack of trust in the Turkish judicial system of the authoritarian government are worrisome. Protests have been made in the streets and through social media in response. Our goal was to determine the role of legacy news media and social media in bringing awareness of the femicide issue …
Measuring the predictability of life outcomes with a scientific mass collaboration
How predictable are life trajectories? We investigated this question with a scientific mass collaboration using the common task method; 160 teams built predictive models for six life outcomes using data from the Fragile Families and Child Wellbeing Study, a high-quality birth cohort study. Despite using a rich dataset and applying machine-learning methods optimized for prediction, the best predictions were not very accurate and were only slightly…
Arming the public with artificial intelligence to counter social bots
The increased relevance of social media in our daily life has been accompanied by efforts to manipulate online conversations and opinions. Deceptive social bots—automated or semi-automated accounts designed to impersonate humans—have been successfully exploited for these kinds of abuse. Researchers have responded by developing artificial intelligence (AI) tools to arm the public in the fight against social bots. Here we review the literature on d…
Deception strategies and threats for online discussions
Communication plays a major role in social systems. Effective communications, which requires the transmission of messages between individuals without disruptions or noise, can be a powerful tool to deliver intended impact. Language and style of content can be leveraged to deceive and manipulate recipients. These deception and persuasion strategies can be applied to exert power and amass capital in politics and business. In this work, we provide a…
The minute-scale dynamics of online emotions reveal the effects of affect labeling
Online Human-Bot Interactions
Increasing evidence suggests that a growing amount of social media content is generated by autonomous entities known as social bots. In this work we present a framework to detect such entities on Twitter. We leverage more than a thousand features extracted from public data and meta-data about users: friends, tweet content and sentiment, network patterns, and activity time series. We benchmark the classification framework by using a publicly avail…
What is gained and what is left to be done when content analysis is added to network analysis in the study of a social movement
As social movements relying on the weak ties found in social networks have spread around the world, researchers have taken several approaches to understanding how networks function in such instances as the Arab Spring. While social scientists have primarily relied on survey or content analysis methodology, network scientists have used social network analysis. This research combines content analysis with the automated techniques of network analysi…
BotOrNot
While most online social media accounts are controlled by humans, these platforms also host automated agents called social bots or sybil accounts. Recent literature reported on cases of social bots imitating humans to manipulate discussions, alter the popularity of users, pollute content and spread misinformation, and even perform terrorist propaganda and recruitment actions. Here we present BotOrNot, a publicly-available service that leverages m…
The rise of social bots
Today's social bots are sophisticated and sometimes menacing. Indeed, their presence can endanger online ecosystems as well as our society.
Clustering memes in social media streams
The minute-scale dynamics of online emotions reveal the effects of affect labeling
Mechanisms Driving Online Vaccine Debate During the Covid-19 Pandemic
The prevalence of the anti-vaccine movement in today's society has become a pressing concern, largely amplified by the dissemination of vaccine skepticism. During the early stages of the COVID-19 pandemic, the vaccination debate sparked controversial debates on social media platforms such as Twitter, which can lead to serious consequences for public health. What determines anti-vax attitudes is an important question for understanding the source o…
The Role of Legacy Media and Social Media in Increasing Public Engagement About Violence Against Women in Turkey
Evidence that women have paid the price of what has been labeled the 'shadow pandemic' is found in the increase in violence against them. The rates of femicide and lack of trust in the Turkish judicial system of the authoritarian government are worrisome. Protests have been made in the streets and through social media in response. Our goal was to determine the role of legacy news media and social media in bringing awareness of the femicide issue …
Clustering memes in social media streams
BotOrNot
While most online social media accounts are controlled by humans, these platforms also host automated agents called social bots or sybil accounts. Recent literature reported on cases of social bots imitating humans to manipulate discussions, alter the popularity of users, pollute content and spread misinformation, and even perform terrorist propaganda and recruitment actions. Here we present BotOrNot, a publicly-available service that leverages m…
The rise of social bots
Today's social bots are sophisticated and sometimes menacing. Indeed, their presence can endanger online ecosystems as well as our society.
Online Human-Bot Interactions
Increasing evidence suggests that a growing amount of social media content is generated by autonomous entities known as social bots. In this work we present a framework to detect such entities on Twitter. We leverage more than a thousand features extracted from public data and meta-data about users: friends, tweet content and sentiment, network patterns, and activity time series. We benchmark the classification framework by using a publicly avail…
What is gained and what is left to be done when content analysis is added to network analysis in the study of a social movement
As social movements relying on the weak ties found in social networks have spread around the world, researchers have taken several approaches to understanding how networks function in such instances as the Arab Spring. While social scientists have primarily relied on survey or content analysis methodology, network scientists have used social network analysis. This research combines content analysis with the automated techniques of network analysi…
Deception strategies and threats for online discussions
Communication plays a major role in social systems. Effective communications, which requires the transmission of messages between individuals without disruptions or noise, can be a powerful tool to deliver intended impact. Language and style of content can be leveraged to deceive and manipulate recipients. These deception and persuasion strategies can be applied to exert power and amass capital in politics and business. In this work, we provide a…
The minute-scale dynamics of online emotions reveal the effects of affect labeling
Arming the public with artificial intelligence to counter social bots
The increased relevance of social media in our daily life has been accompanied by efforts to manipulate online conversations and opinions. Deceptive social bots—automated or semi-automated accounts designed to impersonate humans—have been successfully exploited for these kinds of abuse. Researchers have responded by developing artificial intelligence (AI) tools to arm the public in the fight against social bots. Here we review the literature on d…
Measuring the predictability of life outcomes with a scientific mass collaboration
How predictable are life trajectories? We investigated this question with a scientific mass collaboration using the common task method; 160 teams built predictive models for six life outcomes using data from the Fragile Families and Child Wellbeing Study, a high-quality birth cohort study. Despite using a rich dataset and applying machine-learning methods optimized for prediction, the best predictions were not very accurate and were only slightly…
Information access equality on generative models of complex networks
It is well known that networks generated by common mechanisms such as preferential attachment and homophily can disadvantage the minority group by limiting their ability to establish links with the majority group. This has the effect of limiting minority nodes’ access to information. We present the results of an empirical study on the equality of information access in network models with different growth mechanisms and spreading processes. For gr…
The Role of Legacy Media and Social Media in Increasing Public Engagement About Violence Against Women in Turkey
Evidence that women have paid the price of what has been labeled the 'shadow pandemic' is found in the increase in violence against them. The rates of femicide and lack of trust in the Turkish judicial system of the authoritarian government are worrisome. Protests have been made in the streets and through social media in response. Our goal was to determine the role of legacy news media and social media in bringing awareness of the femicide issue …
Mechanisms Driving Online Vaccine Debate During the Covid-19 Pandemic
The prevalence of the anti-vaccine movement in today's society has become a pressing concern, largely amplified by the dissemination of vaccine skepticism. During the early stages of the COVID-19 pandemic, the vaccination debate sparked controversial debates on social media platforms such as Twitter, which can lead to serious consequences for public health. What determines anti-vax attitudes is an important question for understanding the source o…
Conspiracy theories as instruments of power
The prevalent view associates political disempowerment with increased conspiracy beliefs. However, the function of conspiracy theories for those in power to sustain their dominance is less understood, particularly in ecologically valid and non‐WEIRD ( W estern, E ducated, I ndustrialized, R ich, D emocratic) settings. Our research examined the emergence of conspiracy theories following the 2023 earthquakes in Türkiye and their relation to voting …
From Bias to Brevity
Behavioral observation offers a powerful approach for relationship science but is constrained by coder bias and resource demands. Using a widely employed couple conflict discussion paradigm, we illustrate how these challenges can be addressed. First, we show that thin-slice coding, a method commonly used in zero-acquaintance research, can effectively substitute for full-length observations in already formed relationships. Thin-slice ratings of pa…
Misinformation and Its Impacts (8 obras) · Social media (8 obras) · Computer Science (6 obras) · Spam and Phishing Detection (5 obras) · Politics (4 obras) · Artificial Intelligence (3 obras) · Complex Network Analysis Techniques (3 obras) · Political science (3 obras) · Psychology (3 obras) · Social Media and Politics (3 obras)