Janna Joceli Omena
Biographic Data
| ID | 292134 |
|---|---|
| NAME | Janna Joceli Omena |
| GIVEN NAMES | Janna Joceli |
| FAMILY NAME | Omena |
| SIGNATURE | OMENA J J |
| AFFILIATIONS | Universidade Nova de Lisboa |
| ORCID | 0000-0001-8445-9502 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 81 |
| AUTHOR COUNT | 8 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 2 |
Web Detection Methods for Contextual Interpretation of Image Collections
This paper introduces the innovative use of web detection to overcome a methodological challenge in visual media analysis within social media research and Internet studies. Traditional approaches often depend on manual coding of top-ranked images or examining individual images, lacking the integration of web-based knowledge. This study employs web detection methods utilizing image search ranking mechanisms and knowledge graphs for data retrieval …
Quali-quanti visual methods and political bots
Computational social science research on automated social media accounts, colloquially dubbed “bots”, has tended to rely on binary verification methods to detect bot operations on social media. Typically focused on textual data from Twitter (now rebranded as "X"), these inference-based methods are prone to finding false positives and failing to understand the subtler ways in which bots operate over time, through visual content and in particular c…
Researching visual protest and politics with “extra-hard” data
A range of scholars have criticised scholarly tendencies to focus on “easy” data such as provided by the low-hanging fruit of Twitter hashtag networks (Burgess & Bruns, 2015; Hargittai, 2020; Tromble, 2021). As a result, digital social research has been said to create a glut of studies that favour particular platforms, data forms, and networking dynamics, choices that may create ‘digital bias’ (Marres, 2017). These issues are particularly signifi…
What are data sprints for
The data sprint approach enables various objectives for the digital methods community, from fostering interdisciplinary collaboration to providing teaching-learning spaces regarding creative methods. However, data sprints’ purpose, advantages and concrete results are still little known across disciplines. Thus, this paper presents four facets pertaining to and deriving from data sprints to explain their prospects for different (non-) academic com…
Call into the platform
This paper introduces a medium research perspective as a fundamental basis for Social Sciences and Communication fieldwork. Drawing from the affordances of digital networks, it points to the importance of combining knowledge on platform grammatization with data research practices (capture, mining, analysis and visualization). That is what we refer to as call into the platform. Rather than shifting our attention away from the object of study to pr…
APIs de Visão Computacional
O artigo apresenta resultados deestudo sobre Interfaces de Pro-gramação de Aplicações (API, nasigla em inglês) de visão compu-tacional e sua interpretação de re-presentações em bancos de ima-gens. A visão computacional é umcampo das ciências da computa-ção dedicado a desenvolver algo-ritmos e heurísticas para interpre-tar dados visuais, mas são aindaincipientes os métodos para suaaplicação ou investigação críticas.O estudo investigou três APIs de…
Digital Methods for Hashtag Engagement Research
This article seeks to contribute to the field of digital research by critically accounting for the relationship between hashtags and their forms of grammatization-the platform techno-materialization process of online activity. We approach hashtags as sociotechnical formations that serve social media research not only as criteria in corpus selection but also displaying the complexity of the online engagement and its entanglement with the technicit…
Visual cross-platform analysis
Analysis of social media using digital methods is a flourishing approach. However, the relatively easy availability of data collected via platform application programming interfaces has arguably led to the predominance of single-platform research of social media. Such research has also privileged the role of text in social media analysis, as a form of data that is more readily gathered and searchable than images. In this paper, we challenge both …
Visual cross-platform analysis
Analysis of social media using digital methods is a flourishing approach. However, the relatively easy availability of data collected via platform application programming interfaces has arguably led to the predominance of single-platform research of social media. Such research has also privileged the role of text in social media analysis, as a form of data that is more readily gathered and searchable than images. In this paper, we challenge both …
Digital Methods for Hashtag Engagement Research
This article seeks to contribute to the field of digital research by critically accounting for the relationship between hashtags and their forms of grammatization-the platform techno-materialization process of online activity. We approach hashtags as sociotechnical formations that serve social media research not only as criteria in corpus selection but also displaying the complexity of the online engagement and its entanglement with the technicit…
Quali-quanti visual methods and political bots
Computational social science research on automated social media accounts, colloquially dubbed “bots”, has tended to rely on binary verification methods to detect bot operations on social media. Typically focused on textual data from Twitter (now rebranded as "X"), these inference-based methods are prone to finding false positives and failing to understand the subtler ways in which bots operate over time, through visual content and in particular c…
Researching visual protest and politics with “extra-hard” data
A range of scholars have criticised scholarly tendencies to focus on “easy” data such as provided by the low-hanging fruit of Twitter hashtag networks (Burgess & Bruns, 2015; Hargittai, 2020; Tromble, 2021). As a result, digital social research has been said to create a glut of studies that favour particular platforms, data forms, and networking dynamics, choices that may create ‘digital bias’ (Marres, 2017). These issues are particularly signifi…
Visual cross-platform analysis
Analysis of social media using digital methods is a flourishing approach. However, the relatively easy availability of data collected via platform application programming interfaces has arguably led to the predominance of single-platform research of social media. Such research has also privileged the role of text in social media analysis, as a form of data that is more readily gathered and searchable than images. In this paper, we challenge both …
Call into the platform
This paper introduces a medium research perspective as a fundamental basis for Social Sciences and Communication fieldwork. Drawing from the affordances of digital networks, it points to the importance of combining knowledge on platform grammatization with data research practices (capture, mining, analysis and visualization). That is what we refer to as call into the platform. Rather than shifting our attention away from the object of study to pr…
APIs de Visão Computacional
O artigo apresenta resultados deestudo sobre Interfaces de Pro-gramação de Aplicações (API, nasigla em inglês) de visão compu-tacional e sua interpretação de re-presentações em bancos de ima-gens. A visão computacional é umcampo das ciências da computa-ção dedicado a desenvolver algo-ritmos e heurísticas para interpre-tar dados visuais, mas são aindaincipientes os métodos para suaaplicação ou investigação críticas.O estudo investigou três APIs de…
Digital Methods for Hashtag Engagement Research
This article seeks to contribute to the field of digital research by critically accounting for the relationship between hashtags and their forms of grammatization-the platform techno-materialization process of online activity. We approach hashtags as sociotechnical formations that serve social media research not only as criteria in corpus selection but also displaying the complexity of the online engagement and its entanglement with the technicit…
What are data sprints for
The data sprint approach enables various objectives for the digital methods community, from fostering interdisciplinary collaboration to providing teaching-learning spaces regarding creative methods. However, data sprints’ purpose, advantages and concrete results are still little known across disciplines. Thus, this paper presents four facets pertaining to and deriving from data sprints to explain their prospects for different (non-) academic com…
Quali-quanti visual methods and political bots
Computational social science research on automated social media accounts, colloquially dubbed “bots”, has tended to rely on binary verification methods to detect bot operations on social media. Typically focused on textual data from Twitter (now rebranded as "X"), these inference-based methods are prone to finding false positives and failing to understand the subtler ways in which bots operate over time, through visual content and in particular c…
Researching visual protest and politics with “extra-hard” data
A range of scholars have criticised scholarly tendencies to focus on “easy” data such as provided by the low-hanging fruit of Twitter hashtag networks (Burgess & Bruns, 2015; Hargittai, 2020; Tromble, 2021). As a result, digital social research has been said to create a glut of studies that favour particular platforms, data forms, and networking dynamics, choices that may create ‘digital bias’ (Marres, 2017). These issues are particularly signifi…
Web Detection Methods for Contextual Interpretation of Image Collections
This paper introduces the innovative use of web detection to overcome a methodological challenge in visual media analysis within social media research and Internet studies. Traditional approaches often depend on manual coding of top-ranked images or examining individual images, lacking the integration of web-based knowledge. This study employs web detection methods utilizing image search ranking mechanisms and knowledge graphs for data retrieval …
Computer Science (5 works) · Data science (5 works) · Social media (4 works) · World Wide Web (4 works) · Political science (3 works) · Social Media and Politics (3 works) · Affordance (2 works) · Data Visualization and Analytics (2 works) · Human–computer interaction (2 works) · Law (2 works)