Benjamin K Smith
Biographic Data
| ID | 3821733 |
|---|---|
| NAME | Benjamin K Smith |
| GIVEN NAMES | Benjamin K |
| FAMILY NAME | Smith |
| SIGNATURE | SMITH B K |
| AFFILIATIONS | University of California, Santa Barbara |
| ORCID | 0000-0001-5938-6137 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 44 |
| AUTHOR COUNT | 6 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2013 |
| LATEST PUBLICATION YEAR | 2018 |
| H-INDEX | 3 |
Discourses on countering violent extremism
Research on terrorism has always gravitated around qualitative methods and statistical techniques. Technology plays an essential role in terrorism and counterterrorism analysis by providing collections of large databases in many fields and the computational power to analyze them. Machine learning has shown new methods that could complement standard and well-established methodological approaches. This work contributes to the bridging of machine le…
Using Wikipedia to Predict Election Outcomes
This study seeks to improve election forecasting by supplementing polling data with online information-seeking behavior trends as an indicator of public opinion. Aggregate trends of demonstrations of interest or engagement have been shown to accurately predict behavior trends and reflect public opinion. Further, because traditional poll-based predictions are inherently undermined by self-reporting biases and the intention-behavior disconnect, we …
Quantification
Counting has long been a major tool in social science research methodology. In many fields, to understand a phenomenon is to quantify it, to represent both observed and latent qualities through numerical quantities. Yet the process of quantification is not easy or simple: It requires careful thought, planning, and a skeptical mind‐set. The quantification process involves converting qualitative phenomena into numbers, operationalization, and the a…
Critical review of the United Kingdom’s “gold standard” survey of public attitudes to science
Since 2000, the UK government has funded surveys aimed at understanding the UK public’s attitudes toward science, scientists, and science policy. Known as the Public Attitudes to Science series, these surveys and their predecessors have long been used in UK science communication policy, practice, and scholarship as a source of authoritative knowledge about science-related attitudes and behaviors. Given their importance and the significant public …
Non-native phonemic discrimination, phonological short term memory, and word learning
Hi-Lab
Few adult second language (L2) learners successfully attain high-level proficiency. Although decades of research on beginning to intermediate stages of L2 learning have identified a number of predictors of the rate of acquisition, little research has examined factors relevant to predicting very high levels of L2 proficiency. The current study, conducted in the United States, was designed to examine potential cognitive predictors of successful lea…
Hi-Lab
Few adult second language (L2) learners successfully attain high-level proficiency. Although decades of research on beginning to intermediate stages of L2 learning have identified a number of predictors of the rate of acquisition, little research has examined factors relevant to predicting very high levels of L2 proficiency. The current study, conducted in the United States, was designed to examine potential cognitive predictors of successful lea…
Non-native phonemic discrimination, phonological short term memory, and word learning
Using Wikipedia to Predict Election Outcomes
This study seeks to improve election forecasting by supplementing polling data with online information-seeking behavior trends as an indicator of public opinion. Aggregate trends of demonstrations of interest or engagement have been shown to accurately predict behavior trends and reflect public opinion. Further, because traditional poll-based predictions are inherently undermined by self-reporting biases and the intention-behavior disconnect, we …
Discourses on countering violent extremism
Research on terrorism has always gravitated around qualitative methods and statistical techniques. Technology plays an essential role in terrorism and counterterrorism analysis by providing collections of large databases in many fields and the computational power to analyze them. Machine learning has shown new methods that could complement standard and well-established methodological approaches. This work contributes to the bridging of machine le…
Hi-Lab
Few adult second language (L2) learners successfully attain high-level proficiency. Although decades of research on beginning to intermediate stages of L2 learning have identified a number of predictors of the rate of acquisition, little research has examined factors relevant to predicting very high levels of L2 proficiency. The current study, conducted in the United States, was designed to examine potential cognitive predictors of successful lea…
Non-native phonemic discrimination, phonological short term memory, and word learning
Quantification
Counting has long been a major tool in social science research methodology. In many fields, to understand a phenomenon is to quantify it, to represent both observed and latent qualities through numerical quantities. Yet the process of quantification is not easy or simple: It requires careful thought, planning, and a skeptical mind‐set. The quantification process involves converting qualitative phenomena into numbers, operationalization, and the a…
Critical review of the United Kingdom’s “gold standard” survey of public attitudes to science
Since 2000, the UK government has funded surveys aimed at understanding the UK public’s attitudes toward science, scientists, and science policy. Known as the Public Attitudes to Science series, these surveys and their predecessors have long been used in UK science communication policy, practice, and scholarship as a source of authoritative knowledge about science-related attitudes and behaviors. Given their importance and the significant public …
Using Wikipedia to Predict Election Outcomes
This study seeks to improve election forecasting by supplementing polling data with online information-seeking behavior trends as an indicator of public opinion. Aggregate trends of demonstrations of interest or engagement have been shown to accurately predict behavior trends and reflect public opinion. Further, because traditional poll-based predictions are inherently undermined by self-reporting biases and the intention-behavior disconnect, we …
Discourses on countering violent extremism
Research on terrorism has always gravitated around qualitative methods and statistical techniques. Technology plays an essential role in terrorism and counterterrorism analysis by providing collections of large databases in many fields and the computational power to analyze them. Machine learning has shown new methods that could complement standard and well-established methodological approaches. This work contributes to the bridging of machine le…
Computer Science (5 works) · Political science (3 works) · Psychology (3 works) · Cognition (2 works) · Cognitive psychology (2 works) · Law (2 works) · Set (abstract data type) (2 works) · Short-term memory (2 works) · Working memory (2 works) · Aptitude (1 works)