Bob van de Velde
Biographic Data
| ID | 6714964 |
|---|---|
| NAME | Bob van de Velde |
| GIVEN NAMES | Bob |
| FAMILY NAME | van de Velde |
| SIGNATURE | VAN DE VELDE B |
| AFFILIATIONS | University of Amsterdam |
| VERIFIED | No |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 38 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2015 |
| LATEST PUBLICATION YEAR | 2020 |
| H-INDEX | 4 |
Automated Visual Content Analysis (Avca) in Communication Research: A Protocol for Large Scale Image Classification with Pre-Trained Computer Vision Models
The increasing volume of images published online in a wide variety of contexts requires communication researchers to address this reality by analyzing visual content at a large scale. Ongoing advances in computer vision to automatically detect objects, concepts, and features in images provide a promising opportunity for communication research. We propose a research protocol for Automated Visual Content Analysis (AVCA) to enable large-scale conten…
Vulnerability in a tracked society: Combining tracking and survey data to understand who gets targeted with what content
While data-driven personalization strategies are permeating all areas of online communication, the impact for individuals and society as a whole is still not fully understood. Drawing on Facebook as a case study, we combine online tracking and self-reported survey data to assess who gets targeted with what content. We tested relationships between user characteristics (i.e. socio-demographic and individual perceptions) and exposure to branded cont…
What’s the Tone? Easy Doesn’t Do It: Analyzing Performance and Agreement Between Off-the-Shelf Sentiment Analysis Tools
This article scrutinizes the method of automated content analysis to measure the tone of news coverage. We compare a range of off-the-shelf sentiment analysis tools to manually coded economic news as well as examine the agreement between these dictionary approaches themselves. We assess the performance of five off-the-shelf sentiment analysis tools and two tailor-made dictionary-based approaches. The analyses result in five conclusions. First, th…
Blinded by the Light: How a Focus on Statistical “Significance” May Cause p -Value Misreporting and an Excess of p -Values Just Below .05 in Communication Science
Publication bias promotes papers providing “significant” findings, thus incentivizing researchers to produce such findings. Prior studies suggested that researchers’ focus on “p .05 (88.3%) or vice versa (11.7%). Analyzing p-value frequencies just below .05 using a novel method did not unequivocally demonstrate “p-hacking”—excess p-values could be alternatively explained by (severe) publication bias. Results for 19,830 p-values from social psycho…
What’s the Tone? Easy Doesn’t Do It: Analyzing Performance and Agreement Between Off-the-Shelf Sentiment Analysis Tools
This article scrutinizes the method of automated content analysis to measure the tone of news coverage. We compare a range of off-the-shelf sentiment analysis tools to manually coded economic news as well as examine the agreement between these dictionary approaches themselves. We assess the performance of five off-the-shelf sentiment analysis tools and two tailor-made dictionary-based approaches. The analyses result in five conclusions. First, th…
Automated Visual Content Analysis (Avca) in Communication Research: A Protocol for Large Scale Image Classification with Pre-Trained Computer Vision Models
The increasing volume of images published online in a wide variety of contexts requires communication researchers to address this reality by analyzing visual content at a large scale. Ongoing advances in computer vision to automatically detect objects, concepts, and features in images provide a promising opportunity for communication research. We propose a research protocol for Automated Visual Content Analysis (AVCA) to enable large-scale conten…
Vulnerability in a tracked society: Combining tracking and survey data to understand who gets targeted with what content
While data-driven personalization strategies are permeating all areas of online communication, the impact for individuals and society as a whole is still not fully understood. Drawing on Facebook as a case study, we combine online tracking and self-reported survey data to assess who gets targeted with what content. We tested relationships between user characteristics (i.e. socio-demographic and individual perceptions) and exposure to branded cont…
Blinded by the Light: How a Focus on Statistical “Significance” May Cause p -Value Misreporting and an Excess of p -Values Just Below .05 in Communication Science
Publication bias promotes papers providing “significant” findings, thus incentivizing researchers to produce such findings. Prior studies suggested that researchers’ focus on “p .05 (88.3%) or vice versa (11.7%). Analyzing p-value frequencies just below .05 using a novel method did not unequivocally demonstrate “p-hacking”—excess p-values could be alternatively explained by (severe) publication bias. Results for 19,830 p-values from social psycho…
Blinded by the Light: How a Focus on Statistical “Significance” May Cause p -Value Misreporting and an Excess of p -Values Just Below .05 in Communication Science
Publication bias promotes papers providing “significant” findings, thus incentivizing researchers to produce such findings. Prior studies suggested that researchers’ focus on “p .05 (88.3%) or vice versa (11.7%). Analyzing p-value frequencies just below .05 using a novel method did not unequivocally demonstrate “p-hacking”—excess p-values could be alternatively explained by (severe) publication bias. Results for 19,830 p-values from social psycho…
What’s the Tone? Easy Doesn’t Do It: Analyzing Performance and Agreement Between Off-the-Shelf Sentiment Analysis Tools
This article scrutinizes the method of automated content analysis to measure the tone of news coverage. We compare a range of off-the-shelf sentiment analysis tools to manually coded economic news as well as examine the agreement between these dictionary approaches themselves. We assess the performance of five off-the-shelf sentiment analysis tools and two tailor-made dictionary-based approaches. The analyses result in five conclusions. First, th…
Automated Visual Content Analysis (Avca) in Communication Research: A Protocol for Large Scale Image Classification with Pre-Trained Computer Vision Models
The increasing volume of images published online in a wide variety of contexts requires communication researchers to address this reality by analyzing visual content at a large scale. Ongoing advances in computer vision to automatically detect objects, concepts, and features in images provide a promising opportunity for communication research. We propose a research protocol for Automated Visual Content Analysis (AVCA) to enable large-scale conten…
Vulnerability in a tracked society: Combining tracking and survey data to understand who gets targeted with what content
While data-driven personalization strategies are permeating all areas of online communication, the impact for individuals and society as a whole is still not fully understood. Drawing on Facebook as a case study, we combine online tracking and self-reported survey data to assess who gets targeted with what content. We tested relationships between user characteristics (i.e. socio-demographic and individual perceptions) and exposure to branded cont…
Computer Science (3 works) · Artificial Intelligence (2 works) · Computational and Text Analysis Methods (2 works) · Context (archaeology (2 works) · Psychology (2 works) · Statistics (2 works) · Advanced Text Analysis Techniques (1 works) · Biology (1 works) · Coding (social sciences (1 works) · Communications protocol (1 works)