A5084930117- Social Media and Politics
- Opinion Dynamics and Social Influence
- Computational and Text Analysis Methods
- Misinformation and Its Impacts
- Hate Speech and Cyberbullying Detection
- Complex Network Analysis Techniques
- Topic Modeling
- Advanced Text Analysis Techniques
- Sexual Assault and Victimization Studies
- Gender, Feminism, and Media
- Terrorism, Counterterrorism, and Political Violence
- Healthcare Systems and Challenges
- Bacillus and Francisella bacterial research
- Veterinary Oncology Research
- Epigenetics and DNA Methylation
- Endoplasmic Reticulum Stress and Disease
- Gender Politics and Representation
- Virus-based gene therapy research
- Rhetoric and Communication Studies
- Policing Practices and Perceptions
- Systemic Lupus Erythematosus Research
- Media Influence and Politics
- Poxvirus research and outbreaks
- Breast Lesions and Carcinomas
- Hippo pathway signaling and YAP/TAZ
Northeastern University
2019-2023
Universidad del Noreste
2021
University of Vermont
2016-2018
University of Southern California
2016-2017
University of Kansas Medical Center
2012-2013
University of Kansas
2012
University Medical Center
2012
Fox Chase Cancer Center
2005-2006
Albert Einstein College of Medicine
1997
Inactivation of the NF2 tumor suppressor gene has been observed in certain benign and malignant tumors. Recent studies have demonstrated that merlin, product gene, is regulated by Rac/PAK signaling. However, mechanism which merlin acts as a remained obscure. In this report, we show adenovirus-mediated expression NF2-deficient cells inhibits cell proliferation arrests at G1 phase, concomitant with decreased cyclin D1, inhibition CDK4 activity, dephosphorylation pRB. The effect on cycle...
While generative models such as Latent Dirichlet Allocation (LDA) have proven fruitful in topic modeling, they often require detailed assumptions and careful specification of hyperparameters. Such model complexity issues only compound when trying to generalize incorporate human input. We introduce Correlation Explanation (CorEx), an alternative approach modeling that does not assume underlying model, instead learns maximally informative topics through information-theoretic framework. This...
Since the shooting of Black teenager Michael Brown by White police officer Darren Wilson in Ferguson, Missouri, protest hashtag #BlackLivesMatter has amplified critiques extrajudicial killings Americans. In response to #BlackLivesMatter, other Twitter users have adopted #AllLivesMatter, a counter-protest whose content argues that equal attention should be given all lives regardless race. Through multi-level analysis over 860,000 tweets, we study how these protests and counter-protests...
Core-periphery structure, the arrangement of a network into dense core and sparse periphery, is versatile descriptor various social, biological, technological networks. In practice, different core-periphery algorithms are often applied interchangeably, despite fact that they can yield inconsistent descriptions structure. For example, two most widely used algorithms, k-cores decomposition classic two-block model Borgatti Everett, extract fundamentally structures: latter partitions binary...
The ongoing, fluid nature of the COVID-19 pandemic requires individuals to regularly seek information about best health practices, local community spreading, and public guidelines. In absence a unified response in United States clear, consistent directives from federal officials, people have used social media collectively crowdsource elites, small set trusted sources. We take census crowdsourced elites who received sustained attention on Twitter during pandemic. Using mixed methods approach...
The murder of George Floyd by police in May 2020 sparked international protests and brought unparalleled levels attention to the Black Lives Matter movement. As we show, his death set record activity amplification on Twitter, prompted saddest day platform's history, caused name appear among ten most frequently used phrases a day, where he is only individual have ever received that level who was not known public earlier same week. Importantly, find movement's rhetorical strategy connect...
The social stigma looming over disclosures of sexual violence discourages many women from publicly sharing their stories, limiting ability to seek support and obscuring the epidemic against women. By inviting share ordinarily silenced hashtag #MeToo surfaced a network survivors confront this stigma. Through mixed-methods analysis 1.8 million tweets posted during first two weeks after gained widespread popularity in 2017, we map landscape that emerged disentangle effects network-level...
A common task in computational text analyses is to quantify how two corpora differ according a measurement like word frequency, sentiment, or information content. However, collapsing the texts' rich stories into single number often conceptually perilous, and it difficult confidently interpret interesting unexpected textual patterns without looming concerns about data artifacts validity. To better capture fine-grained differences between texts, we introduce generalized shift graphs,...
In this work, we leverage a panel of over 1.6 million Twitter users matched with public voter records to assess how standard keyword-based approach social media data collection performs in the context participatory politics, and critically examine speech method leaves behind. We find that keyword classifiers undercount young people’s participation online political discourse, valuable expression is lost process. argue mainstream collecting not well-suited politics associated people may...
The social stigma looming over disclosures of sexual violence discourages many women from publicly sharing their stories, limiting ability to seek support and obscuring the epidemic against women. By inviting share ordinarily silenced hashtag #MeToo surfaced a network survivors confront this stigma. Through mixed-methods analysis 1.5 million tweets posted during first two weeks after gained widespread popularity in 2017, we map landscape that emerged disentangle effects network-level...
Stance detection, which aims to determine whether an individual is for or against a target concept, promises uncover public opinion from large streams of social media data. Yet even human annotation content does not always capture “stance” as measured by polls. We demonstrate this directly comparing individual’s self-reported stance the inferred their Leveraging longitudinal survey with respondent Twitter handles, we conducted comparison 1,129 individuals across four salient targets. find...
As an integral component of public discourse, Twitter is among the main data sources for scholarship in this area. However, there much that scholars do not know about basic mechanisms discourse on Twitter, including prevalence various modes communication, types posts users make, engagement those receive, or how these things vary with user demographics and across different topical events. This paper broadens our understanding aspects discourse. We focus first nine months 2020, studying period...
Since the shooting of Black teenager Michael Brown by White police officer Darren Wilson in Ferguson, Missouri, protest hashtag #BlackLivesMatter has amplified critiques extrajudicial killings Americans. In response to #BlackLivesMatter, other Twitter users have adopted #AllLivesMatter, a counter-protest whose content argues that equal attention should be given all lives regardless race. Through multi-level analysis over 860,000 tweets, we study how these protests and counter-protests...
Social media acts as a conduit for fake news websites, where we define information that mirrors legitimate in form, but “lacks the media’s editorial norms and processes ensuring accuracy credibility of information.”4 During 2016 election, example, many researchers journalists alike failed to track weaponization misinformation on social media, leaving them retroactively discover which demographics had been most active sharing after election taken place. It is important understand real time...
The murder of George Floyd by police in May 2020 sparked international protests and renewed attention the Black Lives Matter movement. Here, we characterize ways which online activity following Floyd's death was unparalleled its volume intensity, including setting records for on Twitter, prompting saddest day platform's history, causing name to appear among ten most frequently used phrases a day, where he is only individual have ever received that level who not known public earlier same...
Social media protest networks involve many participants, from long-time activists to individuals who are engaged only in a particular event. We propose new approach studying how various communities of users participate events. Our combines two methodological innovations. First, rather than study tweets central one event, we collect full timelines user activity leading up participation focal Second, bi-spectral clustering as scalable computational method for rapidly identifying by the words...
While generative models such as Latent Dirichlet Allocation (LDA) have proven fruitful in topic modeling, they often require detailed assumptions and careful specification of hyperparameters. Such model complexity issues only compound when trying to generalize incorporate human input. We introduce Correlation Explanation (CorEx), an alternative approach modeling that does not assume underlying model, instead learns maximally informative topics through information-theoretic framework. This...