A5080517372- Wikis in Education and Collaboration
- Open Source Software Innovations
- Mobile Crowdsensing and Crowdsourcing
- Bullying, Victimization, and Aggression
- Statistical Methods and Inference
- Web Data Mining and Analysis
- Advanced Causal Inference Techniques
- Semantic Web and Ontologies
- Image and Video Quality Assessment
- Complex Network Analysis Techniques
- Mental Health Research Topics
- Personality Traits and Psychology
- Data Analysis and Archiving
- Influenza Virus Research Studies
- Nuclear Engineering Thermal-Hydraulics
- Intracerebral and Subarachnoid Hemorrhage Research
- Art Education and Development
- Team Dynamics and Performance
- Crime Patterns and Interventions
- Artistic and Creative Research
- Acute Ischemic Stroke Management
- Hate Speech and Cyberbullying Detection
- Youth Development and Social Support
- Education Discipline and Inequality
- Cognitive Abilities and Testing
Des Plaines Public Library
2022
Northwestern University
2017-2020
University of Minnesota
2016-2018
United Kingdom Atomic Energy Authority
1988
This study assessed change in self-reported Big Five personality traits. We conducted a coordinated integrative data analysis using from 16 longitudinal samples, comprising total sample of over 60 000 participants. models across multiple datasets and fit identical multi-level growth to assess compare the extent trait time. Quadratic was subset samples with four or more measurement occasions. Across studies, linear trajectory revealed declines conscientiousness, extraversion, openness....
Preregistration has been lauded as one of the solutions to so-called ‘crisis confidence’ in social sciences and therefore gained popularity recent years. However, current guidelines for preregistration have developed primarily studies where new data will be collected. Yet, preregistering secondary analyses--- analyses are proposed existing data---is just important, given that researchers’ hypotheses may biased by their prior knowledge data. The need proper guidance this area is especially...
As the third most popular social network among millennials, Snapchat is well known for its picture and video messaging system that deletes content after it viewed. However, Stories feature of offers a different perspective ephemeral sharing, with pictures videos are available friends to watch an unlimited number times 24 hours. We conduct-ed in-depth qualitative investigation by interviewing 18 participants reviewing 14 days their posts. identify five themes focused on how perceive use...
Wikipedia articles about places, OpenStreetMap features, and other forms of peer-produced content have become critical sources geographic knowledge for humans intelligent technologies. In this paper, we explore the effectiveness peer production model across rural/urban divide, a divide that has been shown to be an important factor in many online social systems. We find both OpenStreetMap, rural areas is systematically lower quality, less likely produced by contributors who focus on local...
Preregistration has been lauded as one of the solutions to so-called ‘crisis confidence’ in social sciences and therefore gained popularity recent years. However, current guidelines for preregistration have developed primarily studies where new data will be collected. Yet, preregistering secondary analyses---where analyses are proposed existing data---is just important, given that researchers’ hypotheses may biased by their prior knowledge data. The need proper guidance this area is...
Introduction Transactive goal dynamics theory asserts that interdependent partners have opportunities and motivation to learn about each other's idiosyncratic skills interests in pursuit, producing enhanced system-level knowledge performance. These shared structures of preferences should produce more efficient allocation tasks complete pursuit. The present study directly tests this hypothesis using an empirical demonstration allows for a comparison pursuit among couples with experimentally...
In the past decade, researchers have demonstrated that personality can be accurately predicted from digital footprint data, including Facebook likes, tweets, blog posts, pictures, and transaction records. Such computer–based predictions footprints complement—and in some circumstances even replace—traditional self–report measures, which suffer well–known response biases are difficult to scale. However, these previous studies focused on prediction of aggregate trait scores (i.e. a person's...
Bots have been important to peer production's success. Wikipedia, OpenStreetMap, and Wikidata all taken advantage of automation perform work at a rate scale exceeding that human contributors. Understanding the ways in which humans bots behave these communities is an topic, one relies on accurate bot recognition. Yet, many cases, activities are not explicitly flagged could be mistaken for contributions. We develop machine classifier detect previously unidentified using implicit behavioral...
Wikipedia-based studies and systems frequently assume that no two articles describe the same concept. However, in this paper, we show article-as-concept assumption is problematic due to editors' tendency split into parent sub-articles when get too long for readers (e.g. "Portland, Oregon" "History of Portland, English Wikipedia). In present evidence issue can have significant impacts on introduce sub-article matching problem. The goal problem automatically connect help retrieve complete...
In addition to encyclopedia articles and software, peer production communities produce structured data, e.g., Wikidata OpenStreetMap's metadata. Structured data from has become increasingly important due its use by computational applications, such as CartoCSS, MapBox, Wikipedia infoboxes. However, this is usable applications only if it follows standards. We did an interview study focused on knowledge processes investigate how -- successfully community creates applies Our revealed a...
This white paper is the outcome of Würzburg seminar on "Crowdsourced Network and QoE Measurements" which took place from 25-26 September 2019 in Würzburg, Germany. International experts were invited industry academia. They are well known their communities, having different backgrounds crowdsourcing, mobile networks, network measurements, performance, Quality Service (QoS), Experience (QoE). The discussions focused how crowdsourcing will support vendors, operators, regulators to determine new...
Despite its many, well-recognized benefits for prosperity and well-being (De Ridder, Adriaanse, & Fujita, in press), effective self-regulation—the active monitoring alteration of one's thoughts...
Peer production communities create valuable content such as software, encyclopedia articles, and map data. As part of the creation process, these define standards for their content, e.g., semantic syntactic requirements. We carried out a study in OpenStreetMap to investigate role that community's geographic metadata. found most applied metadata was consistent with standards; however, we also identified many opportunities applying were not achieved. In addition, when situated context...
Network operators, regulators, and big data companies use crowdsourced measurements to study the performance of mobile networks on a large scale. Such type measurement is defined as collection processing measured by crowd, here crowd subscribers. Crowdsourced network make it relatively easy inexpensive obtain amounts that also reflect quality actually received end user. However, this method involves some uncertainties, since, for example, not possible precisely control when, where with which...
Crowdsourced network measurements (CNMs) are becoming increasingly popular as they assess the performance of a mobile from end user’s perspective on large scale. Here, performed directly end-users’ devices, thus taking advantage real-world conditions end-users encounter. However, this type uncontrolled measurement raises questions about its validity and reliability. The problem lies in nature data collection. In CNMs, subscribers involved to extent process, collect themselves for operator....
Identity-based bullying encompasses physical and verbal aggression rooted in unique traits such as race gender, particularly within school contexts. Extensive literature underscores its detrimental impact on the well-being of victimized youth. Teachers' pivotal role intervening is acknowledged, though a gap exists between incident rates interventions, partly attributed to educators' misperception occurrences. Through lens social identity theory, which examines how individuals identify...
The current study builds upon the coordinated integrative data analysis (IDA) of Graham et al. (under review) that replicated trajectories change in Big Five across 15 longitudinal studies aging and dementia. We found consistent cross-study evidence for decreases all traits except Agreeableness, as well non-linear lifespan. added baseline health events predictors linear change, many had at least one predictor each trait. When comparing we no replication. Results are discussed terms possible...