2025
Journal Articles
Purnasasmita, Ruth Kartika; Yatmo, Yandi Andri; Atmodiwirjo, Paramita
Data Landscape as the representation of nighttime urban dynamics Journal Article
In: New Design Ideas, vol. 9, iss. 1, pp. 227-247, 2025.
@article{Purnasasmita2025,
title = {Data Landscape as the representation of nighttime urban dynamics},
author = {Ruth Kartika Purnasasmita and Yandi Andri Yatmo and Paramita Atmodiwirjo},
doi = {/10.62476/ndi.91.227},
year = {2025},
date = {2025-04-02},
journal = {New Design Ideas},
volume = {9},
issue = {1},
pages = {227-247},
publisher = {Jomard Publishing},
school = {Universitas Indonesia},
abstract = {This paper explores the data landscape as the representation of the network of entities that construct the nighttime urban environment. The utilization of data landscape is understood as the collective reading of nighttime place dynamics which could unfold the complex narratives of urban context. It reveals two main elements involved in the emergence of the nighttime environment: what constructs urban nighttime and how it is captured. The mapping of data from social media was conducted using Instagram posts that contain the hashtag #pasarmalam, which indicates the representation of the night market as an element of the urban nighttime environment in the context of Indonesian cities.
Analysis was conducted by identifying the network of relations that emerged from the hashtags. The findings from the study indicate the emergence of data landscape as the network of entities related to elements of events, food, entertainment and experience that construct nighttime urban places. It also reveals how nighttime is represented through various methods, tools and techniques for capturing nighttime. The study suggests the critical role of data landscape in understanding the construction of nighttime urban environment as the basis of data-driven urban placemaking that can capture the dynamics and complexities of nighttime urban elements.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Analysis was conducted by identifying the network of relations that emerged from the hashtags. The findings from the study indicate the emergence of data landscape as the network of entities related to elements of events, food, entertainment and experience that construct nighttime urban places. It also reveals how nighttime is represented through various methods, tools and techniques for capturing nighttime. The study suggests the critical role of data landscape in understanding the construction of nighttime urban environment as the basis of data-driven urban placemaking that can capture the dynamics and complexities of nighttime urban elements.
2024
Journal Articles
Barats, Christine; Biscarrat, Laetitia; Chanial, Camille
Dire l’inceste sur Twitter : caractéristiques discursives et dynamiques de circulation de #MeTooInceste Journal Article
In: Questions de communication, vol. 45, 2024, ISSN: 2259-8901.
@article{Barats2024,
title = {Dire l’inceste sur Twitter : caractéristiques discursives et dynamiques de circulation de #MeTooInceste},
author = {Christine Barats and Laetitia Biscarrat and Camille Chanial},
url = {https://journals.openedition.org/questionsdecommunication/34785},
doi = {/10.4000/11wx1},
issn = {2259-8901},
year = {2024},
date = {2024-06-30},
journal = {Questions de communication},
volume = {45},
abstract = {Dans le prolongement de #MeToo, en janvier 2021, le hashtag #MeTooInceste a contribué à réactualiser le problème public de l’inceste en France. Afin de prêter attention aux caractéristiques de ces prises de parole, différents matériaux ont été recueillis (corpus de tweets et entretiens). Les différents types de données ont permis de combiner et d’articuler des analyses quantitatives et qualitatives et de les contextualiser, dans une dynamique de méthodes mixtes. Les caractéristiques sémio-discursives de ces prises de parole ont été mises au jour, en particulier leurs caractéristiques lexicales et morphosyntaxiques. La diversité des prises de parole montre ainsi la centralité du témoignage et éclaire les ressorts de sa circulation, en l’occurrence le rôle de certains comptes qui contribuent à la dynamique de circulation du hashtag et à son déploiement.
In the wake of #MeToo, the January 2021 hashtag #MeTooInceste helped to update the public issue of incest in France. We collected various types of material (a corpus of tweets and interviews) in order to examine the characteristics of these expressions. We have contextualized, analyzed and discussed these data thanks to a mixed method relying on both quantitative and qualitative tools. We have uncovered the semiodiscursive characteristics of these utterances, in particular their lexical and morphosyntactic features. The diversity of the responses shows the centrality of the testimony and sheds light on the reasons for its circulation, in this case the role of certain Twitter accounts that contribute to the circulation of the hashtag and its deployment.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
In the wake of #MeToo, the January 2021 hashtag #MeTooInceste helped to update the public issue of incest in France. We collected various types of material (a corpus of tweets and interviews) in order to examine the characteristics of these expressions. We have contextualized, analyzed and discussed these data thanks to a mixed method relying on both quantitative and qualitative tools. We have uncovered the semiodiscursive characteristics of these utterances, in particular their lexical and morphosyntactic features. The diversity of the responses shows the centrality of the testimony and sheds light on the reasons for its circulation, in this case the role of certain Twitter accounts that contribute to the circulation of the hashtag and its deployment.
2021
Masters Theses
Béchet, Nathalie
2021.
@mastersthesis{Béchet2021,
title = {#IamNotaVirus: text mining analysis of the blame phenomenon and anti-asian racism on Twitter amid the Covid-19 pandemic Observation of the narrative diversity generated by hashtag activism in France},
author = {Nathalie Béchet},
url = {https://www.researchgate.net/publication/349883313_IamNotaVirus_text_mining_analysis_of_the_blame_phenomenon_and_anti-asian_racism_on_Twitter_amid_the_Covid-19_pandemic_Observation_of_the_narrative_diversity_generated_by_hashtag_activism_in_France},
doi = {http://dx.doi.org/10.13140/RG.2.2.14680.21761},
year = {2021},
date = {2021-05-01},
urldate = {2021-05-01},
abstract = {The hashtag #JeNeSuisPasUnVirus (#IamNotAVirus) was coined in January 2020 during the outbreak of coronavirus (COVID-19) in China as anti-Asian racist incidents gained visibility nourished by the idea that if the pandemic originated in Asia, Asian people were infected and responsible for the spread of the virus. This hashtag reached a peak on January 28th before decreasing, following the shifting curve of the blame phenomenon (Atlani-Duault et al., 2020). Certainly anti-Asian racism is not a new phenomenon, but the Covid-19 pandemic came as an enhancer for xenophobic acts and hate speeches. As Asian communities informally got together online via hashtag activism to denounce persecutions they face, we could observe how the recurring blame process amid health crises, has been worded around ethnic and cultural stigmata. The many comparisons Twitter users from our corpus tended to make with anti-Muslim sentiments in France showed just how the phenomenon at stake here is the one of using a nation's minorities as a scapegoat for local issues. This 2020 epidemic and its associated Twitter hashtag #JeNeSuisPasUnVirus, are just a salience that ought to be grasped by researchers to scrutinize the plurality of narratives around anti-Asian racism and observe how the blame phenomenon works. The present study aims to do so by applying text mining methods to thousands of tweets containing this precise hashtag from the end of January to the end of March 2020.
The present article stands for a Master Thesis presented in order to obtain a M.A. in Data Sciences and Digital Sociology from Gustave Eiffel University under the supervision of Digital Sociology associate professor Bilel Benbouzid. It hasn't been published.},
keywords = {},
pubstate = {published},
tppubtype = {mastersthesis}
}
The present article stands for a Master Thesis presented in order to obtain a M.A. in Data Sciences and Digital Sociology from Gustave Eiffel University under the supervision of Digital Sociology associate professor Bilel Benbouzid. It hasn't been published.
2020
Journal Articles
Omena, Janna Joceli; Rabello, Elaine Teixeira; Mintz, André Goes
Digital Methods for Hashtag Engagement Research Journal Article
In: Social Media + Society, vol. 6, no. 3, pp. 2056305120940697, 2020.
@article{Omena2020,
title = {Digital Methods for Hashtag Engagement Research},
author = {Janna Joceli Omena and Elaine Teixeira Rabello and André Goes Mintz},
url = {https://journals.sagepub.com/doi/full/10.1177/2056305120940697},
doi = {https://doi.org/10.1177/2056305120940697},
year = {2020},
date = {2020-09-03},
urldate = {2020-09-03},
journal = {Social Media + Society},
volume = {6},
number = {3},
pages = {2056305120940697},
abstract = {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 technicity of web platforms. Therefore, the study of hashtag engagement requires a grasping of the functioning of the platform itself (technicity) along with the platform grammatization. In this respect, we propose the three-layered (3L) perspective for addressing hashtag engagement. The first contemplates potential differences between high-visibility and ordinary hashtag usage culture, its related actors, and content. The second focuses on hashtagging activity and the repurposing of how hashtags can be differently embedded into social media databases. The last layer looks particularly into the images and texts to which hashtags are brought to relation. To operationalize the 3L framework, we draw on the case of the “impeachment-cum-coup” of Brazilian president Dilma Rousseff. When cross-read, the three layers add value to one another, providing also difference visions of the high-visibility and ordinary groups.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
PhD Theses
Gray, Daniel
Tweeting About Women: A Critical Discourse Analysis of International Women’s Day on Twitter PhD Thesis
School of Social Sciences, 2020.
@phdthesis{Gray2020,
title = {Tweeting About Women: A Critical Discourse Analysis of International Women’s Day on Twitter},
author = {Daniel Gray},
url = {https://orca.cardiff.ac.uk/id/eprint/137810/
https://orca.cardiff.ac.uk/id/eprint/137810/1/Thesis%20Daniel%20Gray%20Corrected%201-11-2020%282%29.pdf},
year = {2020},
date = {2020-11-01},
urldate = {2020-11-01},
address = {Cardiff University, Cardiff, CF10 3AT},
school = {School of Social Sciences},
abstract = {This thesis is a work of critical digital sociology, investigating discourse which occurred on International Women’s Day 2017 (IWD2017) on Twitter, a widely used social media network, using innovative methodology. The principle finding presented in this thesis is methodological. I demonstrate that it is possible and productive to bring together qualitative analysis and so-called ‘big data’, specifically a large quantity of tweets, via innovative and original methodology, while preserving the unique and valuable affordances of critical, qualitative, theory-informed analysis.
Alongside demonstrating this, I also present a range of analytic findings related to the discourse I have analysed. The analytic findings include the use of popular and ‘fringe’ hashtags in linking mainstream and right-wing/reactionary topics, the prominence of anti- feminism and anti-Islam sentiment in discourse associated with supporters of US president Donald Trump, the antifeminist discursive splitting of feminism and feminists into benign and maligned categories, and the ways women are constructed by Twitter accounts representing police and armed forces.
Methodologically, this thesis provides a detailed account of the practicalities, challenges and strategies involved in approaching big social media data as a critical researcher using qualitative analysis. In doing so I argue that big social media data may be a fruitful area for qualitative work, but that in approaching it we should not discard our previous theoretical, analytical and ethical frameworks.},
keywords = {},
pubstate = {published},
tppubtype = {phdthesis}
}
Alongside demonstrating this, I also present a range of analytic findings related to the discourse I have analysed. The analytic findings include the use of popular and ‘fringe’ hashtags in linking mainstream and right-wing/reactionary topics, the prominence of anti- feminism and anti-Islam sentiment in discourse associated with supporters of US president Donald Trump, the antifeminist discursive splitting of feminism and feminists into benign and maligned categories, and the ways women are constructed by Twitter accounts representing police and armed forces.
Methodologically, this thesis provides a detailed account of the practicalities, challenges and strategies involved in approaching big social media data as a critical researcher using qualitative analysis. In doing so I argue that big social media data may be a fruitful area for qualitative work, but that in approaching it we should not discard our previous theoretical, analytical and ethical frameworks.
2018
Masters Theses
Pan, Ying-Ling
Understanding the message functions in health communication, promotion and pubic engagement on Twitter: An exploratory analysis of the SunSmart campaign Masters Thesis
University of Twente, Enschede, the Netherlands, 2018.
@mastersthesis{Pan2018,
title = {Understanding the message functions in health communication, promotion and pubic engagement on Twitter: An exploratory analysis of the SunSmart campaign},
author = {Ying-Ling Pan},
url = {https://essay.utwente.nl/76515/1/Pan_BA_faculty.pdf},
year = {2018},
date = {2018-08-31},
address = {Enschede, the Netherlands},
school = {University of Twente},
abstract = {Background. As the mortality of skin cancer has risen rapidly over the recent decades, skin health organisations largely use social media as a communication tool to promote health campaigns and encourage participation. However, little is known about the specific approach to foster engagement via tweets as a form of health communication and promote health campaigns to engage the public. By focusing on the SunSmart skin health campaign on Twitter, this study aims to investigate how the communication during the campaign is characterised in terms of the functions of messages, to what extent the use of these messages can create public engagement, and how message contents play out among the functions. Methodology. By focusing on the SunSmart health campaign on Twitter, this study adopts a multi-method approach. First, a descriptive statistical analysis is used to understand whether levels of engagement among types of usersand message functions differ. Second, Natural Language Processing(NLP) is adopted for developing a codebook in which four message functions manifested from the SunSmart data are identified. Third, content analysis is used to manually classify each tweet to different user types and message functions. Last, by using Natural Language Processing(NLP) and the hashtag visualisation the matic analysis, we further explore whether the composition of content (i.e., keywords & thematic topics) among message functions differ. Results. Using the 2014 SunSmart health campaign on Twitter as an empirical context and on the basis of comparison between individuals and organisations(i.e.,the public), results show that individual users are more engaged in the SunSmart campaign on Twitter than organisations did. In addition, we find the levels of engagement among the four main message functions between individuals and organisations differ. At the content level, results show that utilisation of keywords and thematic topics among different message functions generally differ among individuals and organisations. Contributions. This study offers contributions to research on media studies, health communication, and health campaign marketing. Practically, the results provides with insight on strategic health communication and marketing campaigns.},
keywords = {},
pubstate = {published},
tppubtype = {mastersthesis}
}
Online
Karsgaard, Carrie; Bainotti, Lucia; Nero, Serena Del; Flaim, Giacomo; Hockenhull, Michael; MacDonald, Maggie; Martella, Antonio; Valderrama, Erika; Valerio, Gabriel
Canadian Pipeline Politics: Mapping (visual) discourse in platform spaces Online
(DMI), The Digital Methods Initiative (Ed.): 2018, visited: 02.08.2018.
@online{Karsgaard2018,
title = {Canadian Pipeline Politics: Mapping (visual) discourse in platform spaces},
author = {Carrie Karsgaard and Lucia Bainotti and Serena Del Nero and Giacomo Flaim and Michael Hockenhull and Maggie MacDonald and Antonio Martella and Erika Valderrama and Gabriel Valerio},
editor = {The Digital Methods Initiative (DMI)},
url = {https://digitalmethods.net/Dmi/SummerSchool2018PipelinePolitics
https://docs.google.com/presentation/d/1ieIJDHakx44Glre3VRdJu2Z6o60is22aIJoRobw6YF4/edit#slide=id.p},
year = {2018},
date = {2018-08-02},
urldate = {2018-08-02},
abstract = {Methodological findings: Twitter
Twitter’s free-form user location field enables political expression where location-identifiers have political significance; in the Canadian landscape, for instance, users may identify according to Indigenous place names rather than officially sanctioned place names.
The implication for digital methods research is that user location provides a means of exploring issue alignment and political stance for issues with geographical components.
Methodological findings: Instagram
An analytical challenge - but also an opportunity - is posed by Instagram’s multiple discursive spaces - images, text, and hashtags - as they are variously used over time. The project prototypes a comparative approach to these multiple spaces through analysis of each through multiple time slices, including analysis of the linkages between various discourses where possible (i.e. by hashtag-image and text-image analysis). Included is a new approach to text-image analysis using Cortext, which allows exploration of the user-generated text in Instagram posts, beyond what is available via hashtag analysis.
Taken together, multiple maps reinforce certain issue patterns through their repeated representation in various visualizations; at the same time, individual maps reveal nuances of the issue that only emerge through a single discourse (whether visual, textual, or connective via hashtags). This project thus demonstrates how critical discourse analysis and visual analysis may be conducted at multiple and intersecting levels through a critical cartographical approach, enabling a more robust understanding of the issue as it is performed online.
Substantive Findings
Our findings indicate that when analyzed as above, the tools embedded in both Twitter and Instagram allow us to infer discursive alignment with issue positioning, not only for/against the key issue, but also within sub-groups, allowing a nuanced view of the issue. For instance, within anti-pipeline sentiment, analysis of locations, hashtags, text, and images reveals competing ideals between protection of the land (as pristine), ownership of the land (as a Vancouver resident), and stewardship of the land (as already occupied by Indigenous peoples). By tracing these discursive groups over time, we see increasing overlap within our issue network visualizations, where distinct clusters are replaced by heterogenous networks, indicating that the pipeline issue may function as a boundary object, bringing various publics closer together.},
keywords = {},
pubstate = {published},
tppubtype = {online}
}
Twitter’s free-form user location field enables political expression where location-identifiers have political significance; in the Canadian landscape, for instance, users may identify according to Indigenous place names rather than officially sanctioned place names.
The implication for digital methods research is that user location provides a means of exploring issue alignment and political stance for issues with geographical components.
Methodological findings: Instagram
An analytical challenge - but also an opportunity - is posed by Instagram’s multiple discursive spaces - images, text, and hashtags - as they are variously used over time. The project prototypes a comparative approach to these multiple spaces through analysis of each through multiple time slices, including analysis of the linkages between various discourses where possible (i.e. by hashtag-image and text-image analysis). Included is a new approach to text-image analysis using Cortext, which allows exploration of the user-generated text in Instagram posts, beyond what is available via hashtag analysis.
Taken together, multiple maps reinforce certain issue patterns through their repeated representation in various visualizations; at the same time, individual maps reveal nuances of the issue that only emerge through a single discourse (whether visual, textual, or connective via hashtags). This project thus demonstrates how critical discourse analysis and visual analysis may be conducted at multiple and intersecting levels through a critical cartographical approach, enabling a more robust understanding of the issue as it is performed online.
Substantive Findings
Our findings indicate that when analyzed as above, the tools embedded in both Twitter and Instagram allow us to infer discursive alignment with issue positioning, not only for/against the key issue, but also within sub-groups, allowing a nuanced view of the issue. For instance, within anti-pipeline sentiment, analysis of locations, hashtags, text, and images reveals competing ideals between protection of the land (as pristine), ownership of the land (as a Vancouver resident), and stewardship of the land (as already occupied by Indigenous peoples). By tracing these discursive groups over time, we see increasing overlap within our issue network visualizations, where distinct clusters are replaced by heterogenous networks, indicating that the pipeline issue may function as a boundary object, bringing various publics closer together.
Omena, Janna Joceli; Rabello, Elaine; Mintz, André; Sanchez-Querubin, Natalia; Ozkula, Suay; Sued, Gabriela; Elbeyi, Ece; Cicali, Alessandra
Visualising hashtag engagement: imagery of political polarization on Instagram Online
(DMI), The Digital Methods Initiative (Ed.): 2018, visited: 10.07.2018.
@online{Omena2023,
title = {Visualising hashtag engagement: imagery of political polarization on Instagram},
author = {Janna Joceli Omena and Elaine Rabello and André Mintz and Natalia Sanchez-Querubin and Suay Ozkula and Gabriela Sued and Ece Elbeyi and Alessandra Cicali},
editor = {The Digital Methods Initiative (DMI)},
url = {https://digitalmethods.net/Dmi/InstagramLivenessVisualisingengagement},
year = {2018},
date = {2018-07-10},
urldate = {2018-07-10},
abstract = {Engagement is a key parameter in social media studies: a conductor for scientific analysis and thoughts. The overall engagement is not only a representative form (or depiction) of human activities, but also a common path to think political and social issues. However, engagement can stem from and be fostered by algorithms or bots, advertising, the popularity of actors or subjects, local or global context. On social media, engagement gathers the sum of different grammars of actions (Agre, 1994) or the reoccurrence of isolated actions, which, taken together, may represent collective thought. In other words, engagement is typically perceived through a dual logic: the sums of actions media items receive (e.g. the total number of likes and comments in a picture on Instagram); the recurrent use of natively digital objects or grammars of action from many people about a topic, e.g. the adoption of hashtags (that can be driven by personal, isolated or collective acts of communication). The first returns the most engaged list what can be defined as the dominant voices, the second returns the ordinary list that is composed by the ordinary voices.
Studies based on engagement have been commonly undertaken by vanity metrics instead of critical analytics; the former being comprised of measures of analysis based on a content or actor being well-known or influential, whereas, the latter, proposes metrics of engagement (dominant voice, concern, commitment, positioning and alignment) that focus on causes and issues overtime (Rogers, 2016). That is why we should not oversimplify engagement behind “the most engaged lists or active users”. On the contrary, we should investigate and analyze the domains of engagement activity; logic, structure and the vocabulary of actions together with an understanding of the social relations. Thus,instead of looking only at most popular actors/content or total of reactions on posts, how can we study engagement through the constant repetition of ordinary voice publications?},
keywords = {},
pubstate = {published},
tppubtype = {online}
}
Studies based on engagement have been commonly undertaken by vanity metrics instead of critical analytics; the former being comprised of measures of analysis based on a content or actor being well-known or influential, whereas, the latter, proposes metrics of engagement (dominant voice, concern, commitment, positioning and alignment) that focus on causes and issues overtime (Rogers, 2016). That is why we should not oversimplify engagement behind “the most engaged lists or active users”. On the contrary, we should investigate and analyze the domains of engagement activity; logic, structure and the vocabulary of actions together with an understanding of the social relations. Thus,instead of looking only at most popular actors/content or total of reactions on posts, how can we study engagement through the constant repetition of ordinary voice publications?
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