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copyright when teaching across borders--a survey for you!
by Patricia Aufderheide 03 Apr '23

03 Apr '23

Good Monday morning (DC time) and thank you again if you already took the short-short survey about your experience teaching across borders (e.g. you have a student in another country; you are coteaching with someone in another country; you're teaching in a branch of your university in another country). I hope you're feeling those waves of gratitude. If you haven't, we are so grateful if you can do that now. Here you go! https://american.co1.qualtrics.com/jfe/form/SV_40jQUf6enq5nUCa Patricia Aufderheide, University Professor, School of Communication (she/they) Living and working on unceded lands of Nacotchtank and Piscataway peoples Founder and Senior Research Fellow, Center for Media & Social Impact American University 4400 Massachusetts Av., NW American University, Washington, DC 20016-8017 McKinley Hall 323 @paufder @cmsimpact cmsimpact.org<http://cmsimpact.org> paufder(a)american.edu<mailto:paufder@american.edu> 202-885-2069 office 240-643-4805 mobile Zoom Office Hours: https://american.zoom.us/j/96788556467?pwd=eFNpa2JMWlZQRm5pT1Z0b3RVUlRXQT09 Reclaiming Fair Use--t<https://www.amazon.com/gp/product/022637419X?pf_rd_p=d1f45e03-8b73-4c9a-9be…>he second edition is out, with new stories, quizzes and entirely new chapters on the surprising success of fair use in enabling creativity!

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[Last call for papers] 2nd Workshop on Novel Evaluation Approaches for Text Classification Systems
by Bjorn Ross 03 Apr '23

03 Apr '23

2nd Workshop on Novel Evaluation Approaches for Text Classification Systems Co-located with ICWSM 2023, 5 June 2023, Limassol, Cyprus https://neatclass-workshop.github.io/ The automatic or semiautomatic analysis of textual data is a key approach to analyse the massive amounts of user-generated content online, from the identification of sentiment in text and topic classification to the detection of abusive language, misinformation or propaganda. However, the development of such systems faces a crucial challenge. Static benchmarking datasets and performance metrics are the primary method for measuring progress in the field, and the publication of research on new systems typically requires demonstrating an improvement over state-of-the-art approaches in this way. Yet, these performance metrics can obscure critical failings in current models. Improvements in metrics often do not reflect improvements in the real-world performance of models. There is clearly a need to rethink performance evaluation for text classification and analysis systems to be usable and trustable. If unreliable systems achieve astonishing scores with traditional metrics, how do we recognise progress when we see it? The goal of the Workshop on Novel Evaluation Approaches for Text Classification Systems (NEATCLasS) is to promote the development and use of novel metrics for abuse detection, hate speech recognition, sentiment analysis and similar tasks within the community, to better be able to measure whether models really improve upon the state of the art, and to encourage a wide range of models to be tested on these new metrics. Recently there have been attempts to address the problem of benchmarks and metrics that do not represent performance well. For example, in abusive language detection, there are both static datasets of hard-to-detect examples (Röttger et al. 2021) and dynamic approaches for generating such examples (Calabrese et al. 2021). On the platform DynaBench (Kiela et al. 2021), benchmarks are dynamic and constantly updated with hard-to-classify examples, avoiding overfitting a predetermined dataset. However, these approaches only capture a tiny fraction of issues with benchmarking. There is still much work to do. We welcome submissions discussing such new evaluation approaches, introducing new or refining existing ones, promoting the use of novel metrics for abuse detection, sentiment analysis and similar tasks within the community. Furthermore, the workshop will promote discussion on the importance, potential and danger of disagreement in tasks that require subjective judgements. This discussion will also focus on how to evaluate human annotations, and how to find the most suitable set of annotators (if any) for a given instance and task. The workshop will solicit, among others, research papers about * Issues with current evaluation metrics and benchmarking datasets * New evaluation metrics * User-centred (qualitative or quantitative) evaluation of social media text analysis tools * Adaptations and translations of novel evaluation metrics for other languages * New datasets for benchmarking * Increasing data quality in benchmarking datasets, e.g., avoidance of selection bias, identification of suitable expert human annotators for tasks involving subjective judgements * Systems that facilitate dynamic evaluation and benchmarking * Models that perform better at hard-to-classify instances and novel evaluation metrics such as AAA, DynaBench and HateCheck * Bias, error analysis and model diagnostics * Phenomena not captured by existing evaluation metrics (such as models making the right predictions for the wrong reason) * Approaches to mitigating bias and common errors * Alternative designs for NLP competitions that evaluate a wide range of model characteristics (such as bias, error analysis, cross-domain performance) * Challenges of downstream applications (in industry, computational social science and elsewhere) and reflections on how these challenges can be captured in evaluation metrics Format and Submissions We invite research papers (8 pages), position and short papers (4 pages), and demo papers (2 pages). Detailed submission instructions can be found on the workshop website. The workshop will take place as a half-day meeting on 5 June. We are looking forward to an exciting mix of activities including invited talks, paper presentations and a group discussion. Authors of accepted papers will be invited to trial an innovative format for paper presentations: presenters will be given 5 minutes to describe their research questions and hypothesis, and a group discussion will start after that. Then, presenters will be given 5 more minutes to describe their method and results, followed by a new group discussion about the interpretation and implications of such results. The group discussion to bring researchers together and collect ideas for new evaluation approaches and future work in the field. While we would encourage attending the workshop in person, we are also planning to live stream the workshop on Zoom and record talks to allow as many people as possible to participate. Authors of accepted papers will have the opportunity to publish their papers through workshop proceedings by the AAAI Press. Submission instructions will be uploaded to the workshop web page in due course: https://neatclass-workshop.github.io/ Timeline * Submission link: TBD – see https://neatclass-workshop.github.io/ * Papers submission deadline: 17 April 2023 * Paper acceptance notification: 30 April 2023 * Final camera-ready paper due: 6 May 2023 * Workshop Day: 5 June 2023 Organisers Björn Ross, University of Edinburgh (Contact: b.ross(a)ed.ac.uk<mailto:b.ross@ed.ac.uk>) Roberto Navigli, Sapienza University of Rome Agostina Calabrese, University of Edinburgh Sheikh Muhammad Sarwar, Amazon The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. Is e buidheann carthannais a th’ ann an Oilthigh Dhùn Èideann, clàraichte an Alba, àireamh clàraidh SC005336.

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10 days to apply: Research Fellow position in memories from HIV
by Jaime García Iglesias 03 Apr '23

03 Apr '23

Hi all, Apologies for cross-posting. Just wanted to draw your attention to this job opportunity at the University of Edinburgh. It's an exciting opportunity for a 0.8FTE (4 days a week), 28-month contract, Research Fellow in the ESRC-funded "Viral Memories: from HIV to COVID-19 and beyond" led by Dr Jaime Garcia-Iglesias from the Usher Institute. You can find all details about this post in the link below and may direct enquiries to jgarcia6(a)ed.ac.uk https://www.jobs.ac.uk/job/CYN165/research-fellow Applications close on April 13th. Thanks a lot!

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PhD Student Position MCS Uppsala University
by Amanda Lagerkvist 03 Apr '23

03 Apr '23

Dear All, We are hiring a PhD Student in Media and Communication Studies within the project AI Design Futures (to be headed by WASP-HS Guest Professor Mark Coeckelbergh) in the Department of Informatics and Media, Uppsala University: https://www.uu.se/en/about-uu/join-us/details/?positionId=607229 Kind regards, Amanda Lagerkvist Amanda Lagerkvist Professor of Media and Communication Studies PI of the Uppsala Informatics and Media Hub for Digital Existence<https://www.im.uu.se/research/hub-for-digtal-existence> Dept. of Informatics and Media, Uppsala University Box 513, SE- 751 20 Uppsala Office: +46(0)18-471 1522 Mobile: +46(0)73-660 0574 E-mail: amanda.lagerkvist(a)im.uu.se<mailto:amanda.lagerkvist@im.uu.se> Profile page<https://katalog.uu.se/profile/?id=N7-774> New book: Existential Media: A Media Theory of the Limit Situation (Oxford University Press, 2022<https://global.oup.com/academic/product/existential-media-9780190925567?typ…>) När du har kontakt med oss på Uppsala universitet med e-post så innebär det att vi behandlar dina personuppgifter. För att läsa mer om hur vi gör det kan du läsa här: http://www.uu.se/om-uu/dataskydd-personuppgifter/ E-mailing Uppsala University means that we will process your personal data. For more information on how this is performed, please read here: http://www.uu.se/en/about-uu/data-protection-policy

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Call for participation: Surveillance Capitalism Conference (Pavia, 7-8 September)
by Alessandro Caliandro 03 Apr '23

03 Apr '23

Dear All (sorry for cross-posting), We are pleased to announce that the final conference of the project “V-Data - The value of digital data: enhancing citizens’ awareness and voice about surveillance capitalism”, funded by Fondazione Cariplo, will take place 7-8 September 2023 at the University of Pavia. Call for contributions and all info on programme, fees and accommodation available at: https://vdataresearch.com/outputs/cal-for-contributions/ The event will comprise panel presentations and one keynote session hosting the internationally renowned scholar Stefania Milan ( https://www.stefaniamilan.net/about-me/) A maximum of 25 papers will be selected for presentation. Preference will be given to speakers who plan to attend the conference in person, but a small number of remote presentations (no more than one per panel) may be included in the programme. We invite researchers who are active in the field of surveillance studies, surveillance capitalism, data justice, algorithmic studies, data ethics, Science and Technology Studies (STS), digital and computational methods, digital labour, media consumption and attitudes, critical consumer studies, platform studies (and many more) to submit proposals for paper presentations. Please submit an abstract (max. 300 words) to the event organisers by sending it via email to vdataresearch(a)gmail.com by 30 April 2023. What are you waiting for? Come and join us! -- -------------------------------------------------------------------------------------------- Alessandro Caliandro Associate Professor in Sociology of Culture and Communication Researcher V-DATA project (Surveillance Capitalism in Italy): https://vdataresearch.com/ Research Stream 3 Leader of ACTIVE-IT: https://ageingsocieties.unimib.it/active-it/ Member of Ageing Societies: https://ageingsocieties.unimib.it/ Università degli Studi di Pavia Dipartimento di Scienze Politiche e Sociali Strada Nuova 65 27100 Pavia phone: 0382 984325 e-mail: alessandro.caliandro(a)unipv.it Alessandro Caliandro's Personal Meeting Room (ZOOM) https://us02web.zoom.us/j/8629741587 *If you please, check out my most recent publications ; ) * Audy Martínek, P., Caliandro, A., & Denegri-Knott, J. (2022). Digital practices tracing: studying consumer lurking in digital environments. *Journal of Marketing Management*, 1-31. https://www.tandfonline.com/doi/full/10.1080/0267257X.2022.2105385 Caliandro, A., & Anselmi, G. (2021). Affordances-based brand relations: An inquire on memetic brands on Instagram. *Social Media+ Society*, 7(2), https://journals.sagepub.com/doi/full/10.1177/20563051211021367

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IERLab & TCRN visiting fellowship positions (4): Open Call for Applications, 2023
by Jin Lee 03 Apr '23

03 Apr '23

Hello colleagues, On behalf of the TikTok Cultures Research Network ( https://tiktokcultures.com/) and Influencer Ethnography Research Lab ( https://ierlab.com/) I invite you to apply for our inaugural visiting fellow schemes. The TCRN and IERLab Visiting Fellowship is an opportunity for HDRs (Higher Degree by Research) and ECRs (Early Career Researchers) to conduct research examining TikTok cultures and Influencer cultures in collaboration with scholars of TCRN and IERLab at Curtin University. In 2023, we will be awarding *4 fellowships*: 1 x TCRN HDR Visiting Fellowship, 1 x TCRN ECR Visiting Fellowship, 1 x IERLab HDR Visiting Fellowship, 1 x IERLab ECR Visiting Fellowship. All 4 fellowship positions are for a duration of 4 weeks, between May–November 2023. *About* - The *TikTok Cultures Research Network (TCRN) *is a portal for scholarly resources, research projects, and events that connects networks of qualitative scholars of various disciplines from around the world, supported by Curtin University. - The *Influencer Ethnography Research Lab (IERLab)* comprises an interdisciplinary and international group of social scientists who study the sociocultural impact of Influencers, supported by Curtin University. *Eligibility* Applicants can apply from Australia or Overseas. However, they must ensure they are able to obtain the appropriate visa for entry into Australia. We particularly welcome applicants from the Asia Pacific region. - HDR scheme: Applicants must be actively enrolled in a Masters or PhD program at the time of application. - ECR scheme: Applicants must have received their PhD in the last 5 years, or have eligible commensurate career disruption *Terms* It is expected that Fellows will be based physically at Curtin University’s Bentley campus in Perth, Western Australia, for at least 4 weeks. Fellows must commence and complete any time between June–November 2023. Fellows will need to organize their own flights, visas, accommodation, and everyday logistics. TCRN, IERLab and Curtin University will award each Fellow a one-off stipend of AUD5000 to assist with costs, and it is anticipated that Fellows will supplement this with another source of funding from their host institute. *Expectations* The TCRN/ IERLab Visiting Fellowship scheme is aimed at facilitating collaborative research opportunities and outputs. Upon completion of the programme, it is expected that Fellows will have: - Presented 1 research talk at a seminar facilitated by IERLab - Prepared 1 collaborative/co-authored journal article in close-to-completion form, aimed for publication in a high-ranking journal in the fields of media studies, communication, cultural studies, sociology, anthropology, or a related field - For ECR Fellows only: Conducted 1 HDR meet-and-greet session to offer students mentoring in an area of their choosing (i.e. career development, research methods, grant applications, etc.) *How to apply:* - Please submit a 1-page CV and 1-page collaboration intent letter, and indicate when you wish to undertake the Fellowship (at least 4 weeks) by *30 April, 2023*. The collaboration intent letter should briefly include the proposed project or research topic, proposed researchers involved, and proposed output. Shortlisted candidates will be notified by 5 May 2023. - To submit your application, for further information, and for any queries, please contact TCRN Founder / IERLab Director *Professor Crystal Abidin* at *crystal.abidin[at]curtin.edu.au <http://curtin.edu.au/>*. - Shortlisted applicants will be invited to submit further materials detailing their research plan, project timeline, and methods by 19 May 2023. Successful applicants will be notified by 26 May 2023. For more info, please visit our websites: TCRN < https://tiktokcultures.com/fellowships/>, IERLab < https://ierlab.com/2023/04/03/call-for-applications-ierlab-visiting-fellows… > Thank you, Jin -- Jin Lee, PhD Research Fellow, Internet Studies, Curtin University & ARC Centre of Digital Child Affiliated researcher, Korean Research Centre of Western Australia Visit my website <https://ljin8788.wixsite.com/website> for more

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Generative AI and the Future of the University: Three Events at the University of Manchester
by Mark Carrigan 02 Apr '23

02 Apr '23

*May 10th, 17th and 24th - 3pm to 5pm (BST) at the University of Manchester, UK* Since it was launched in November 2022, Open AI’s ChatGPT has enthralled millions with its uncanny ability to respond to queries in a conversational manner. Its capacity to immediately respond to natural language questions with detailed factual knowledge has sparked debate about whether the typical forms of university-based assessment can survive this technological innovation. While there are many questions remaining to be answered about how different groups within the student community perceive these developments, and the extent to which they are already being used in assessment, there is a widespread belief within the university sector that something fundamental has shifted. This rapid growth in generative AI’s capacity to automatically produce authoritative cultural forms presents a challenge to the university as a custodian of knowledge and conferrer of credentials. In the months since this launch the underlying technology has already been incorporated into office software, search engines and productivity tools. The next iteration of Open AI’s GPT model has already been released, with vastly expanded capabilities, while universities are only beginning to come to terms with the implications of its predecessor. These developments will only accelerate as a result of intense competition within the technology sector, with capital flowing into investment in generative AI in pursuit of market dominance. Our students will work in environments where the automated production of content is ubiquitous, leaving us with the challenge of preparing them for this future while preserving the integrity of university assessments. Furthermore, our own working practices are already being changed by generative AI, with scholarly publishers already formulating policies about co-authorship with tools like Chat-GPT. If generative AI continues to develop in this way then any field which involves knowledge production or knowledge exchange will inevitably be transformed. This has profound implications not only for how we teach and assess our students, but also the working lives which they will lead over coming decades. Many questions are raised by these developments including: How do we prepare our students for these developments? How do we help them distinguish between better and worse uses of generative AI? How do we ensure they understand the epistemic limits of these systems? How can we support students in finding ways to work creatively with generative AI rather than relying on it as a substitute for their own engagement? There is little prospect of final answers in the near future but it feels urgent for us to begin discussing the questions. It is for this reason that DTCE Research & Scholarship are organising three in person open discussions in May in order to map out three different dimensions of this issue, reflecting an agenda which emerged from our first event in March. - How do we embed critical AI literacy in our teaching and professional training? What are the implications of generative AI for equity and social justice? What are the epistemic limitations and how are they changing? How can curricula keep up with the accelerating pace of technological change? May 10th, 3pm to 5pm, University of Manchester - How do we develop an agenda for assessment reform in a way which is adequate to these challenges? To what extent do existing definitions of ‘malpractice’ stand in the way of creative responses? Should we reconsider what we are assessing and why? How can we prepare students for a working world where generative AI is likely to be ubiquitous? May 17th, 3pm to 5pm, University of Manchester - How will training for academic staff need to change in order to cope with the speed of technological developments? What new systems and approaches could support more agile forms of knowledge sharing? What are the potential implications for academic labour and professional autonomy? May 24th, 3pm to 5pm, University of Manchester We invite colleagues to propose a 5-minute conversation starter in which they informally raise an issue which can be discussed with other attendees. This would be an informal suggestion of an issue for discussion rather than an expectation of a detailed proposal or formal presentation. Each event will involve a series of these discussions with a view to opening out conversations within a small group and identifying areas for further collaboration. Numbers will be limited to facilitate open discussion so please register as soon as you’re able to confirm attendance. We will confirm registration and finalise schedules for the three events by April 28th. *Please register and submit conversation starters here: https://forms.gle/DBcguYd84CGjagmP8 <https://forms.gle/DBcguYd84CGjagmP8>* *Please note these are not hybrid events and they will not be recorded in order to encourage the sharing of provisional ideas. It is entirely face-to-face with the intention of building on our existing scoping event in March. There are a number of online initiatives we have planned over the coming months which will facilitate participation by those who cannot attend these events in person.* markcarrigan.net <http://www.markcarrigan.net/> | @theplatformuni <http://www.twitter.com/theplatformuni/> LinkedIn <https://www.linkedin.com/in/mark-c-516017123/> | Soundcloud <https://soundcloud.com/mark-carrigan> | Youtube <https://www.youtube.com/channel/UCflmX41wlvtXPIhy51Wfonw/videos> | Recent publications <https://manchester.padlet.org/j04936mc/jbob1uin0weo43dh> *I occasionally send e-mail outside of normal hours as my preferred way of balancing multiple commitments. Please don't feel obligated to respond to this e-mail until your own working hours have resumed. *

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LaborTech Inaugural Book & Graduate Student Paper Awards
by Tammy Katsabian 01 Apr '23

01 Apr '23

Labor Tech Research Network <https://www.labortechresearchnetwork.org/> (LaborTech) invites submissions for our second annual Book and Graduate Student Paper Awards, and first annual Social Justice Award. <https://www.labortechresearchnetwork.org/> *About Us* LaborTech is an interdisciplinary and transnational group of experts concerned with the intersection of technology and labor. We aim to reframe conversations about technology and labor towards issues of power, inequality, and social justice, and incorporate themes of feminism, anti-racism, and transnationalism. We also seek to foster an interdisciplinary, cross-regional, and community-oriented space for discussion, collaboration, and empowerment. For a deeper discussion of our mission, please see the 'About Us' <http://labortechresearchnetwork.org/index.php/about-us/> page on our website as well as examples of topics in our decade-long Speaker Series <http://labortechresearchnetwork.org/index.php/speaker-series/>. *Call for Nominations* As part of our mission to promote scholarship and activism towards more equitable forms of labor and technology, LaborTech is announcing a call for three awards -- Book, Graduate Student Paper, and Social Justice. These will honor projects which: - have distinctive intellectual merit or activist impact; - advance the knowledge about labor and technology in the global society; and - address our core focus on labor and technology and which may simultaneously address feminism, anti-racism, and/or transnationalism. *Eligibility: Works from all disciplines and methodologies are eligible for nomination. Nominations are open to members and non-members of LaborTech. We welcome self-nominations especially, but also nominations from publishers, colleagues, and others familiar with the projects. We encourage submissions from women, people of color, queer communities, and those from the global south.* *Prizes: Winners receive a small cash award and a certificate (which we hope to expand further in years ahead, as we are still a growing nonprofit organization :). In addition, we offer our infrastructural supports at LaborTech to promote visibility of your projects: by connecting with our 400+ expert members; by making a video of winners and distributing it both in and outside of our network to enhance public attention and exposure; and by creating a space and opportunity for sharing your work at out end of year virtual celebration. Winners will be announced in December.* *Deadline and Contact: The deadline for submissions is July 1, 2023. Send questions to labortechresearchnetwork(a)gmail.com <labortechresearchnetwork(a)gmail.com>. See below for separate criteria and instructions for the various awards.* *Book and Graduate Student Paper Awards* *Submission Details:* Please submit the following items in English to labortechresearchnetwork(a)gmail.com: 1. An electronic version in PDF format (contact us if only print form is available for books) 2. The author's contact email address 3. A one-page nomination letter stating the significance and contribution of the work 4. For Graduate Student Paper, please also include in the cover letter: a) when the PhD was started and, if applicable, granted b) if the paper was published, then state when and in what journal c) if co-authored with faculty/advisors/other PhDs, please include a paragraph attesting to the student's dominant role in generating the paper (such as working on its theoretical components, doing the research, and writing it up). In addition, we ask that the cover letter is signed (digitally, or otherwise) by all co-authors, so that they are aware of this submission. *Book Award Criteria:* - Monographs only (no edited volumes or anthologies) - Multiple authors accepted - Published in the last three years (2021-23) *Graduate Student Paper Award Criteria:* - Written by students currently enrolled in a graduate program or who have graduated in 2023 - Single-authored pieces are preferred, but co-authored pieces will be accepted with the above conditions in Submission Details - Papers may be published within the last three years (2021-23) or unpublished - Page length: 25-40 pages, double-spaced *Social Justice Award * *Submission details:* - Fill out this online form <https://docs.google.com/forms/d/e/1FAIpQLSdq_wJIthm5mbq05UVrzIGN6wYARoogkTO…>, which includes a few short questions of 400-700 words each, regarding the significance and contribution of your social justice activities - Please submit all items in English. If you have a submission in another language, contact us and we'll attempt to find a translator in our group. *Criteria:* - Those who are interfacing with technology in the course of their organizing, or who are organizing against inequitable technologies, in the context of labor, feminism, anti-racism, transnationalism struggles. This may include: - tech workers - labor organizers, whether in unions or other workers' associations - feminist, immigrant, community, and ethnic rights activists - scholar-activists. For this, we are not looking for purely academic work (i.e., scholars who are studying activism), but rather those who are participating in activism themselves, or who are promoting collaborations between activists and scholars. - people creating design alternatives for social justice, like engineers and designers - Open to individuals, small groups, and if appropriate, organizations - Focus will be on a particular campaign or project that is done with the aim of social justice regarding labor and/or technology. These projects may be broad (such as educating the public on a social justice issue) or specific (such as organizing a protest for higher wages). They may use a variety of strategies (e.g., art, design, social media, marches and strikes, policy interventions, etc.). We'd like to honor activists who, through these projects, have developed novel approaches or who are pioneers in the fight for more equitable relations of technology and/or labor.

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WEBCAST MAR 31 – NARALO/ISOC-NY Universal Acceptance Day
by Joly MacFie 01 Apr '23

01 Apr '23

UA Day is in fact UA week, and there have been plenty of events <https://uasg.tech/ua-day/>, from ISOC Chapters, and others. [image: ISOC LIVE] <https://isoc.live/16461>On *Friday March 31 2023* from *12:00-15:00 EDT* (16:00-19:00 UTC) ICANN's *North America At-Large Regional Organization <https://naralo.org/>* (NARALO) and the *Internet Society New York Chapter <https://isoc-ny.org/>* (ISOC-NY) will host *NARALO/ISOC-NY Universal Acceptance Day <https://www.eventbrite.com/e/naraloisoc-ny-universal-acceptance-day-tickets…>* at the Chrysler Building in NYC. This event is part of *UA Day <https://uasg.tech/ua-day/>*, rallying local, regional, and global communities and organizations to spread Universal Acceptance (UA) awareness and to encourage UA adoption with key stakeholders. The day will consist of UA training, awareness, and strategy sessions held by the Universal Acceptance Steering Group (UASG), ICANN, global partners, and regional and local organizations. UA is a technical requirement that ensures all valid domain names and email addresses, regardless of script, language, or character length, can be equally used by all Internet-enabled applications, devices, and systems. *SPEAKERS* *Greg Shatan*, NARALO Chair *Sarah Deutsch*, ICANN Board *Jonathan Zuck*, ALAC Chair *Joe Catapano*, ICANN GSE *Louis Houle*, Omicron / ISOC Quebec *LIVESTREAM http://livestream.com/internetsociety/na-uaday <http://livestream.com/internetsociety/na-uaday>* *PARTICIPATE VIA ZOOM https://bit.ly/3KpovEs <https://bit.ly/3KpovEs>* *REAL TIME TEXT https://bit.ly/3K2bxL5 <https://bit.ly/3K2bxL5>* *TWITTER #UniversalAcceptance #UADay <https://bit.ly/3ZxDssj> #Internet4All #NARALO @ISOCNY @ICANN @ICANNAtLarge @GregShatan @JosephCatapano @Jvzuck* *MASTODON #UniversalAcceptance <https://mastodon.social/tags/UniversalAcceptance>* *SIMULCASTS* *https://www.twitter.com/ISOC_Live/ <https://www.twitter.com/ISOC_Live/>* *https://www.twitch.tv/isoclive <https://www.twitch.tv/isoclive>* *https://www.facebook.com/liveisoc/ <https://www.facebook.com/liveisoc/>* (AI Captions) *ARCHIVE* *https://archive.org/details/na-uaday <https://archive.org/details/na-uaday>* *Permalink https://isoc.live/16461 <https://isoc.live/16461>* -- -------------------------------------- Joly MacFie +12185659365 -------------------------------------- - -- -------------------------------------- Joly MacFie +12185659365 -------------------------------------- -

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Re: [Air-L] TikTok video analysis
by Unger, Johann 01 Apr '23

01 Apr '23

Hi Karyn & All, Replying mainly to interrupt the ever increasing nested replies that include multiple versions of the digest, which I suspect will eventually contain enough text to power the next version of GPT! But as I’m writing anyway, a few thoughts: I don’t think there is a definitive text on multimodal DA of TikTok yet, as others have suggested. But for general approaches, I can recommend “Introduction to Multimodal Analysis” by Per Ledin and David Machin. That is an introductory textbook, so if you’d like a more theoretical take you could try “Multimodality: Foundations, research and analysis–A problem-oriented introduction” by John Bateman, Janina Wildfeuer and Tuomo Hiippala (and other work by these authors). I’d strongly recommend Kendra Calhoun’s article about Vine (https://doi.org/10.1111/jola.12206) as a great example of discourse analysis of short video formats (and I believe she’s publishing something about TikTok soon). Finally, if you’ll allow me a bit of self-promotion, my own co-authored textbook “Researching Language and Social Media” (Page, Barton, Lee, Unger & Zappavigna) has a number of additional sections on multimodality in the 2nd (2022) edition. Chapter 5 in particular deals with discourse and qualitative analysis. Hope this helps, Johnny Message: 1 Date: Fri, 31 Mar 2023 20:23:54 +0000 From: Karyn Hollis <karyn.hollis(a)villanova.edu> To: "air-l(a)listserv.aoir.org" <air-l(a)listserv.aoir.org> Subject: [Air-L] Tik Tok Video Analysis Message-ID: <MN2PR03MB5327BDA9B3C82B69F42AF9CA948F9(a)MN2PR03MB5327.namprd03.prod.outlook.com> Content-Type: text/plain; charset="Windows-1252" Hi All? Can anyone suggest a basic text for getting started with multimodal discourse analysis (or another method) for analyzing Tik Tok videos? Many, many thanks, Karyn Hollis

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