CorText Manager around the world

@online{nokey,

title = {Infodemic 5G : How Interpretative Frames are Co-articulated on Social Media? An Instagram versus Parler Case Study},

author = {Niels ten Oever and Maxigas and Bryan Steffen and Eleni Maragkou and Emile Provendier and Emma Breuer and Giovanni Lombardi and Giulio Valentini and Jasper van der Heide and Jörn Preuß and Roxana Varvara Boboc and Selin Ashaghimina and Sylvain Mignot and Veronica Fanzio and Veronica Moretti},

editor = {The Digital Methods Initiative (DMI)},

url = {https://digitalmethods.net/Dmi/WinterSchool2021Infodemic5G},

year  = {2021},

date = {2021-01-28},

urldate = {2021-01-28},

abstract = {The main takeaways from this project are the differences in how 5G is discussed on mainstream and alternative platforms (Instagram vs. Parler) and the connection to the way 5G is represented by vendors and network operators. The key finding is that the vendors and network operators discuss 5G in vague terms, failing to create a concrete and meaningful imaginary that people can draw from. In this context, users from various platforms associated 5G with several issues, which vary across mainstream and alternative platforms. The main takeaway in this regard is that the discourse on Instagram is much more fragmented and lacks cohesion, leading to several clusters of themes with little to no connections between them. On the other hand, Parler hosts a much more coherent approach, where the discussion is much more concrete and related to politics and corporate figures. The project explores these various critical interpretative frames to gain a sense of how 5G is conceived by various communities versus how it is presented by manufacturers.},

keywords = {},

pubstate = {published},

tppubtype = {online}

}

@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}

}

@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}

}

@online{Popille2017,

title = {La communication politique sur Instagram  Étude des candidats à l’élection présidentielle de 2017},

author = {Ophélie Popille},

url = {https://opheliepopille.files.wordpress.com/2017/07/mecc81moire.pdf},

year  = {2017},

date = {2017-07-11},

organization = {Master 2 NUMérique et Innovation (NUMI), Université Paris-Est Marne-la-Vallée},

abstract = {Les réseaux sociaux prennent de plus en plus de place dans la communication politique, notamment en période électorale.  Parallèlement, ces nouveaux moyens de communication peuvent bouleverser l’image publique des personnalités politiques. C’est pourquoi ce papier cherche à savoir de quelle manière s’établit la communication politique sur Instagram, qui combine à la fois l’image et le texte. Cela permettra ainsi de percevoir s’il existe ou non des divergences en fonction de la couleur politique des personnalités ou des points communs entre les comptes. Les analyses porteront sur les images postées, mais aussi les textes publiés pour les accompagner. L’étude se penche sur les comptes Instagram de candidats à l’élection présidentielle de 2017 qui détiennent un compte sur le réseau social : Nicolas Dupont-Aignan, Jean Lassalle, Marine Le Pen, François Fillon, Benoît Hamon, Emmanuel Macron et enfin, Jean-Luc Mélenchon.},

keywords = {},

pubstate = {published},

tppubtype = {online}

}