Kohei Watanabe
Biographic Data
| ID | 3747086 |
|---|---|
| NAME | Kohei Watanabe |
| GIVEN NAMES | Kohei |
| FAMILY NAME | Watanabe |
| SIGNATURE | WATANABE K |
| AFFILIATIONS | Waseda University |
| ORCID | 0000-0001-6519-5265 |
| VERIFIED | Yes |
| TOTAL WORKS | 16 |
| TOTAL CITATIONS | 162 |
| WORKS AS AUTHOR | 16 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2013 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 7 |
Semantic temporality analysis
Temporality is an important aspect of political discourse. Politicians and policymakers attempt to construct the past and the future to gain power, legitimize their policies, claim success for themselves and blame others. To make computational analysis of temporality more accessible, we develop a new methodology using a semisupervised machine-learning algorithm called Latent Semantic Scaling. Only with a set of common verbs in the past perfect an…
Seeded Sequential LDA
Topic models have been widely used by researchers across disciplines to automatically analyze large textual data. However, they often fail to automate content analysis, because the algorithms cannot accurately classify individual sentences into pre-defined topics. Aiming to make topic classification more theoretically grounded and content analysis in general more topic-specific, we have developed Seeded Sequential Latent Dirichlet allocation (LDA…
The relationship between pedal force application technique and the ability to perform supramaximal pedaling cadences
This study aimed to examine the relationship between the pedal force application technique under a specific competitive condition and the ability to perform steady-state pedaling at a supramaximal cadence during a special pedaling test. A total of 15 competitive male cyclists and 13 active, healthy men (novice cyclists, hereafter, novices) performed the pedaling technique test. The test imitated a road cycling competition condition (80% VO2 peak …
Exploring Engagement With EU News on Facebook
The EU is diagnosed with a participation deficit, rooted in a lack of public communication. While news media are the primary source of information about EU politics, social media have become an important channel for political information. Importantly, social media platforms offer unique opportunities for citizens to engage with information about the EU. Such engagement is under-researched despite users’ responses offering valuable information abo…
Discursive diversion
We study how leaders of parliamentary democracies attempt to trigger the “rally-around-the-flag” effect through the mass media. We have collected news articles on North Korea and Iran published by liberal and conservative newspapers in Japan and Israel from 2009 to 2018 and analysed them in terms of their emphasis on threats, employing semi-supervised quantitative text analysis techniques. We find that both Japanese and Israeli conservative newsp…
Could leaders deflect from political scandals? Cross-national experiments on diversionary action in Israel and Japan
The diversionary theory of war is one of the best-known conflict initiation theories focusing on democratic leaders’ incentives to divert public attention away from political scandals or economic policy failures. While this assumption is well-known, few studies have examined if and how the use of force could divert public attention from such a scandal or failure. By using cross-national experiments in Japan and Israel, we provide empirical tests …
Economic status of waste pickers in Bantar Gebang compared to other workers in Indonesia
The Geopolitical Threat Index
Few concepts figure more prominently in the study of international politics than threat. Yet scholars do not agree on how to identify and measure threats or systematically incorporate leaders’ perceptions of threat into their models. In this research note, we introduce a text-based strategy and method for identifying and measuring elite assessments of international threat from publicly available sources. Using semi-supervised machine learning mod…
Latent Semantic Scaling
Many social scientists recognize that quantitative text analysis is a useful research methodology, but its application is still concentrated in documents written in European languages, especially English, and few sub-fields of political science, such as comparative politics and legislative studies. This seems to be due to the absence of flexible and cost-efficient methods that can be used to analyze documents in different domains and languages. A…
Theory-Driven Analysis of Large Corpora
There is a growing interest in quantitative analysis of large corpora among the international relations (IR) scholars, but many of them find it difficult to perform analysis consistently with existing theoretical frameworks using unsupervised machine learning models to further develop the field. To solve this problem, we created a set of techniques that utilize a semisupervised model that allows researchers to classify documents into predefined c…
Quanteda
quanteda is an R package providing a comprehensive workflow and toolkit for natural language processing tasks such as corpus management, tokenization, analysis, and visualization. It has extensive functions for applying dictionary analysis, exploring texts using keywords-in-context, computing document and feature similarities, and discovering multi-word expressions through collocation scoring. Based entirely on sparse operations, it provides high…
Comparison of Recycling Activities at Landfills in Indonesia and Malaysia
The situation of on-site recycling at landfills in Malaysia was investigated. Although Malaysia’s per capita GDP is three times that of Indonesia, waste picking at landfills is still economically feasible. The reason for this is that in Indonesia, the main recovered item is plastic bags as more valuable items are removed before the waste arrives to the landfill, while in Malaysia items such as PET bottles and metal cans are abundant in landfills,…
Russian Spring’ or ‘Spring Betrayal’? The Media as a Mirror of Putin’s Evolving Strategy in Ukraine
We develop a novel Russian-language electronic content analysis dictionary and method to analyse Russian state media’s framing of the Euromaidan protests. We find that around the time of Crimea’s annexation, the Kremlin-controlled media projected media narratives of protests as chaos and disorder along with legalistic jargon about the status of ethnic Russians and federalisation, only to abandon this strategy by the end of April 2014. The shift i…
Measuring news bias
Objectivity in news reporting is one of the most widely discussed topics in journalism, and a number of studies on bias in news have been conducted, but there is little agreement on how to define or measure news bias. Aiming to settle the theoretical and methodological disagreement, the author redefined news bias and applied a new methodology to detect the Russian government’s influence on ITAR-TASS during the Ukraine crisis. A longitudinal conte…
The spread of the Kremlin’s narratives by a western news agency during the Ukraine crisis
The description of the Ukraine crisis as an ‘information war’ in recently published studies seems to suggest a belief that the Russian government’s propaganda in the crisis contributed to Russia’s swift annexation of Crimea. However, studies focusing on Russia’s state-controlled media fail to explain how Russian’s narrative spread beyond the ‘Slavic world’. This study, based on quantitative and qualitative analyses of news coverage by ITAR-TASS, …
The western perspective in Yahoo! News and Google News
A large-scale quantitative analysis of geographic news coverage of Yahoo! News and Google News was conducted in the US and India using a content-analysis program to examine overrepresentation of developed countries in the US-based news portal sites. The results of the analysis show an absence of difference in the news coverage patterns of Yahoo! News and Google News between the US and India, which was predicted by the cultural imperialism thesis.…
Theory-Driven Analysis of Large Corpora
There is a growing interest in quantitative analysis of large corpora among the international relations (IR) scholars, but many of them find it difficult to perform analysis consistently with existing theoretical frameworks using unsupervised machine learning models to further develop the field. To solve this problem, we created a set of techniques that utilize a semisupervised model that allows researchers to classify documents into predefined c…
Russian Spring’ or ‘Spring Betrayal’? The Media as a Mirror of Putin’s Evolving Strategy in Ukraine
We develop a novel Russian-language electronic content analysis dictionary and method to analyse Russian state media’s framing of the Euromaidan protests. We find that around the time of Crimea’s annexation, the Kremlin-controlled media projected media narratives of protests as chaos and disorder along with legalistic jargon about the status of ethnic Russians and federalisation, only to abandon this strategy by the end of April 2014. The shift i…
Latent Semantic Scaling
Many social scientists recognize that quantitative text analysis is a useful research methodology, but its application is still concentrated in documents written in European languages, especially English, and few sub-fields of political science, such as comparative politics and legislative studies. This seems to be due to the absence of flexible and cost-efficient methods that can be used to analyze documents in different domains and languages. A…
The spread of the Kremlin’s narratives by a western news agency during the Ukraine crisis
The description of the Ukraine crisis as an ‘information war’ in recently published studies seems to suggest a belief that the Russian government’s propaganda in the crisis contributed to Russia’s swift annexation of Crimea. However, studies focusing on Russia’s state-controlled media fail to explain how Russian’s narrative spread beyond the ‘Slavic world’. This study, based on quantitative and qualitative analyses of news coverage by ITAR-TASS, …
The Geopolitical Threat Index
Few concepts figure more prominently in the study of international politics than threat. Yet scholars do not agree on how to identify and measure threats or systematically incorporate leaders’ perceptions of threat into their models. In this research note, we introduce a text-based strategy and method for identifying and measuring elite assessments of international threat from publicly available sources. Using semi-supervised machine learning mod…
Seeded Sequential LDA
Topic models have been widely used by researchers across disciplines to automatically analyze large textual data. However, they often fail to automate content analysis, because the algorithms cannot accurately classify individual sentences into pre-defined topics. Aiming to make topic classification more theoretically grounded and content analysis in general more topic-specific, we have developed Seeded Sequential Latent Dirichlet allocation (LDA…
Measuring news bias
Objectivity in news reporting is one of the most widely discussed topics in journalism, and a number of studies on bias in news have been conducted, but there is little agreement on how to define or measure news bias. Aiming to settle the theoretical and methodological disagreement, the author redefined news bias and applied a new methodology to detect the Russian government’s influence on ITAR-TASS during the Ukraine crisis. A longitudinal conte…
The western perspective in Yahoo! News and Google News
A large-scale quantitative analysis of geographic news coverage of Yahoo! News and Google News was conducted in the US and India using a content-analysis program to examine overrepresentation of developed countries in the US-based news portal sites. The results of the analysis show an absence of difference in the news coverage patterns of Yahoo! News and Google News between the US and India, which was predicted by the cultural imperialism thesis.…
Semantic temporality analysis
Temporality is an important aspect of political discourse. Politicians and policymakers attempt to construct the past and the future to gain power, legitimize their policies, claim success for themselves and blame others. To make computational analysis of temporality more accessible, we develop a new methodology using a semisupervised machine-learning algorithm called Latent Semantic Scaling. Only with a set of common verbs in the past perfect an…
Exploring Engagement With EU News on Facebook
The EU is diagnosed with a participation deficit, rooted in a lack of public communication. While news media are the primary source of information about EU politics, social media have become an important channel for political information. Importantly, social media platforms offer unique opportunities for citizens to engage with information about the EU. Such engagement is under-researched despite users’ responses offering valuable information abo…
Economic status of waste pickers in Bantar Gebang compared to other workers in Indonesia
Could leaders deflect from political scandals? Cross-national experiments on diversionary action in Israel and Japan
The diversionary theory of war is one of the best-known conflict initiation theories focusing on democratic leaders’ incentives to divert public attention away from political scandals or economic policy failures. While this assumption is well-known, few studies have examined if and how the use of force could divert public attention from such a scandal or failure. By using cross-national experiments in Japan and Israel, we provide empirical tests …
The western perspective in Yahoo! News and Google News
A large-scale quantitative analysis of geographic news coverage of Yahoo! News and Google News was conducted in the US and India using a content-analysis program to examine overrepresentation of developed countries in the US-based news portal sites. The results of the analysis show an absence of difference in the news coverage patterns of Yahoo! News and Google News between the US and India, which was predicted by the cultural imperialism thesis.…
Russian Spring’ or ‘Spring Betrayal’? The Media as a Mirror of Putin’s Evolving Strategy in Ukraine
We develop a novel Russian-language electronic content analysis dictionary and method to analyse Russian state media’s framing of the Euromaidan protests. We find that around the time of Crimea’s annexation, the Kremlin-controlled media projected media narratives of protests as chaos and disorder along with legalistic jargon about the status of ethnic Russians and federalisation, only to abandon this strategy by the end of April 2014. The shift i…
Measuring news bias
Objectivity in news reporting is one of the most widely discussed topics in journalism, and a number of studies on bias in news have been conducted, but there is little agreement on how to define or measure news bias. Aiming to settle the theoretical and methodological disagreement, the author redefined news bias and applied a new methodology to detect the Russian government’s influence on ITAR-TASS during the Ukraine crisis. A longitudinal conte…
The spread of the Kremlin’s narratives by a western news agency during the Ukraine crisis
The description of the Ukraine crisis as an ‘information war’ in recently published studies seems to suggest a belief that the Russian government’s propaganda in the crisis contributed to Russia’s swift annexation of Crimea. However, studies focusing on Russia’s state-controlled media fail to explain how Russian’s narrative spread beyond the ‘Slavic world’. This study, based on quantitative and qualitative analyses of news coverage by ITAR-TASS, …
Quanteda
quanteda is an R package providing a comprehensive workflow and toolkit for natural language processing tasks such as corpus management, tokenization, analysis, and visualization. It has extensive functions for applying dictionary analysis, exploring texts using keywords-in-context, computing document and feature similarities, and discovering multi-word expressions through collocation scoring. Based entirely on sparse operations, it provides high…
Comparison of Recycling Activities at Landfills in Indonesia and Malaysia
The situation of on-site recycling at landfills in Malaysia was investigated. Although Malaysia’s per capita GDP is three times that of Indonesia, waste picking at landfills is still economically feasible. The reason for this is that in Indonesia, the main recovered item is plastic bags as more valuable items are removed before the waste arrives to the landfill, while in Malaysia items such as PET bottles and metal cans are abundant in landfills,…
Latent Semantic Scaling
Many social scientists recognize that quantitative text analysis is a useful research methodology, but its application is still concentrated in documents written in European languages, especially English, and few sub-fields of political science, such as comparative politics and legislative studies. This seems to be due to the absence of flexible and cost-efficient methods that can be used to analyze documents in different domains and languages. A…
Theory-Driven Analysis of Large Corpora
There is a growing interest in quantitative analysis of large corpora among the international relations (IR) scholars, but many of them find it difficult to perform analysis consistently with existing theoretical frameworks using unsupervised machine learning models to further develop the field. To solve this problem, we created a set of techniques that utilize a semisupervised model that allows researchers to classify documents into predefined c…
The Geopolitical Threat Index
Few concepts figure more prominently in the study of international politics than threat. Yet scholars do not agree on how to identify and measure threats or systematically incorporate leaders’ perceptions of threat into their models. In this research note, we introduce a text-based strategy and method for identifying and measuring elite assessments of international threat from publicly available sources. Using semi-supervised machine learning mod…
The relationship between pedal force application technique and the ability to perform supramaximal pedaling cadences
This study aimed to examine the relationship between the pedal force application technique under a specific competitive condition and the ability to perform steady-state pedaling at a supramaximal cadence during a special pedaling test. A total of 15 competitive male cyclists and 13 active, healthy men (novice cyclists, hereafter, novices) performed the pedaling technique test. The test imitated a road cycling competition condition (80% VO2 peak …
Exploring Engagement With EU News on Facebook
The EU is diagnosed with a participation deficit, rooted in a lack of public communication. While news media are the primary source of information about EU politics, social media have become an important channel for political information. Importantly, social media platforms offer unique opportunities for citizens to engage with information about the EU. Such engagement is under-researched despite users’ responses offering valuable information abo…
Discursive diversion
We study how leaders of parliamentary democracies attempt to trigger the “rally-around-the-flag” effect through the mass media. We have collected news articles on North Korea and Iran published by liberal and conservative newspapers in Japan and Israel from 2009 to 2018 and analysed them in terms of their emphasis on threats, employing semi-supervised quantitative text analysis techniques. We find that both Japanese and Israeli conservative newsp…
Could leaders deflect from political scandals? Cross-national experiments on diversionary action in Israel and Japan
The diversionary theory of war is one of the best-known conflict initiation theories focusing on democratic leaders’ incentives to divert public attention away from political scandals or economic policy failures. While this assumption is well-known, few studies have examined if and how the use of force could divert public attention from such a scandal or failure. By using cross-national experiments in Japan and Israel, we provide empirical tests …
Economic status of waste pickers in Bantar Gebang compared to other workers in Indonesia
Semantic temporality analysis
Temporality is an important aspect of political discourse. Politicians and policymakers attempt to construct the past and the future to gain power, legitimize their policies, claim success for themselves and blame others. To make computational analysis of temporality more accessible, we develop a new methodology using a semisupervised machine-learning algorithm called Latent Semantic Scaling. Only with a set of common verbs in the past perfect an…
Seeded Sequential LDA
Topic models have been widely used by researchers across disciplines to automatically analyze large textual data. However, they often fail to automate content analysis, because the algorithms cannot accurately classify individual sentences into pre-defined topics. Aiming to make topic classification more theoretically grounded and content analysis in general more topic-specific, we have developed Seeded Sequential Latent Dirichlet allocation (LDA…
Political science (9 works) · Computer Science (8 works) · Law (8 works) · Politics (8 works) · Law (7 works) · Sociology (7 works) · Artificial Intelligence (5 works) · Computational and Text Analysis Methods (5 works) · Media Influence and Politics (5 works) · Natural language processing (5 works)