Craig Macdonald
Biographic Data
| ID | 3914401 |
|---|---|
| NAME | Craig Macdonald |
| GIVEN NAMES | Craig |
| FAMILY NAME | Macdonald |
| SIGNATURE | MACDONALD C |
| AFFILIATIONS | University of Glasgow |
| ORCID | 0000-0003-3143-279X |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 14 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2000 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 2 |
We need to go deeper: Measuring Electoral Violence Using Convolutional Neural Networks and Social Media
Electoral violence is conceived of as violence that occurs contemporaneously with elections, and as violence that would not have occurred in the absence of an election. While measuring the temporal aspect of this phenomenon is straightforward, measuring whether occurrences of violence are truly related to elections is more difficult. Using machine learning, we measure electoral violence across three elections using disaggregated reporting in soci…
Votes on Twitter: Assessing Candidate Preferences and Topics of Discussion During the 2016 U.S. Presidential Election
Social media offers scholars new and innovative ways of understanding public opinion, including citizens’ prospective votes in elections and referenda. We classify social media users’ preferences over the two U.S. presidential candidates in the 2016 election using Twitter data and explore the topics of conversation among proClinton and proTrump supporters. We take advantage of hashtags that signaled users’ vote preferences to train our machine le…
Values in action scale and the Big 5: An empirical indication of structure
Sliding Scale of Support: Government Intervention in Housing
Public and social housing providers in many countries around the world are trying to solve the problem of how to construct and maintain quality affordable housing at the lowest cost to both the government and tenants. As might be expected, each country has found its own solution to these issues, leading to a sliding scale in the degree of support that different governments give to their housing providers. This study examines developments in the U…
Book notice: “Englishes around the World: Studies in Honour of Manfred Görlach” by Edgar W. Schneider
We need to go deeper: Measuring Electoral Violence Using Convolutional Neural Networks and Social Media
Electoral violence is conceived of as violence that occurs contemporaneously with elections, and as violence that would not have occurred in the absence of an election. While measuring the temporal aspect of this phenomenon is straightforward, measuring whether occurrences of violence are truly related to elections is more difficult. Using machine learning, we measure electoral violence across three elections using disaggregated reporting in soci…
Values in action scale and the Big 5: An empirical indication of structure
Votes on Twitter: Assessing Candidate Preferences and Topics of Discussion During the 2016 U.S. Presidential Election
Social media offers scholars new and innovative ways of understanding public opinion, including citizens’ prospective votes in elections and referenda. We classify social media users’ preferences over the two U.S. presidential candidates in the 2016 election using Twitter data and explore the topics of conversation among proClinton and proTrump supporters. We take advantage of hashtags that signaled users’ vote preferences to train our machine le…
Sliding Scale of Support: Government Intervention in Housing
Public and social housing providers in many countries around the world are trying to solve the problem of how to construct and maintain quality affordable housing at the lowest cost to both the government and tenants. As might be expected, each country has found its own solution to these issues, leading to a sliding scale in the degree of support that different governments give to their housing providers. This study examines developments in the U…
Book notice: “Englishes around the World: Studies in Honour of Manfred Görlach” by Edgar W. Schneider
Sliding Scale of Support: Government Intervention in Housing
Public and social housing providers in many countries around the world are trying to solve the problem of how to construct and maintain quality affordable housing at the lowest cost to both the government and tenants. As might be expected, each country has found its own solution to these issues, leading to a sliding scale in the degree of support that different governments give to their housing providers. This study examines developments in the U…
Values in action scale and the Big 5: An empirical indication of structure
Votes on Twitter: Assessing Candidate Preferences and Topics of Discussion During the 2016 U.S. Presidential Election
Social media offers scholars new and innovative ways of understanding public opinion, including citizens’ prospective votes in elections and referenda. We classify social media users’ preferences over the two U.S. presidential candidates in the 2016 election using Twitter data and explore the topics of conversation among proClinton and proTrump supporters. We take advantage of hashtags that signaled users’ vote preferences to train our machine le…
We need to go deeper: Measuring Electoral Violence Using Convolutional Neural Networks and Social Media
Electoral violence is conceived of as violence that occurs contemporaneously with elections, and as violence that would not have occurred in the absence of an election. While measuring the temporal aspect of this phenomenon is straightforward, measuring whether occurrences of violence are truly related to elections is more difficult. Using machine learning, we measure electoral violence across three elections using disaggregated reporting in soci…
Political science (4 works) · Computer Science (2 works) · Law (2 works) · Politics (2 works) · Psychology (2 works) · Social media (2 works) · Sociology (2 works) · Action (physics) (1 works) · Affordable housing (1 works) · Agency (philosophy (1 works)