Face work with emojis in a - didactic peer-feedback setting: A pragmatic analysis
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Face work with emojis in a didactic peer-feedback setting: A pragmatic analysis Michael Beißwenger · Steffen Pappert Universität Duisburg-Essen Final Workshop. 18th–20th October 2018, Zurich
Focus of our talk Results of an exploratory, pragmatic analysis of the use of emojis in a digital learning environment (inverted classroom / game-based learning scenario). Data set: The total of posts written by learners in a learning environment using a wiki platform (N=680) Task: provide peer feedback for other learners‘ suggestions on how to solve a certain spelling phenomenon. The use of emojis was voluntary. Hypothesis: Providing feedback on the results of other learners is a challenging task as it requires to criticise people who are on the same level. Learners adopt emojis as a resource for managing this challenge: They use emojis as a means of politeness in interaction (as a resource for face work).
Three perspectives Media linguistics: Linguistic analysis of CMC; special focus on the functions of emojis and on politeness strategies in written interactions. Pragmatic analysis of emerging practices in mediated interaction: How do interlocutors adopt resources provided by the technological environment (in our case: emojis) for the organisation of social interaction? Research on ‚digital didactics‘: What devices can/should a learning environment – as an eco-logy for learning and teaching activities – provide to support learners with performing given or anticipated tasks? Linguistics can contribute to the evaluation and further development of scenarios for digitally enhanced learning.
Structure of our talk Linguistic perspectives on emojis: Previous and related work Face work in interaction: Basic concepts for our study on emojis in a learning environment Face work with emojis: results and examples from our study (Beißwenger/Pappert to appear 2019) Discussion & outlook
Emoijs as a means of managing interaction in CMC Research on emojis with a linguistic focus: e.g., Danesi 2017, Dürscheid/Frick 2014, Dürscheid/Siever 2018, Herring/Dainas 2017, Pappert 2017, Siebenhaar 2017 Suggestions from previous research on the functions of emojis: graphical function: emojis function “as allographs, as ideograms, and as border and sentence intention signals” (Dürscheid/Siever 2017: 266; 278) + indexical function (Dürscheid/Siever 2017: 274-275) commentary function; representation function; illustration function (Dürscheid/Frick 2016: 105; cf. Dürscheid/Frick 2014: 173) Siebenhaar (2018): Emojis function “as a substitute for complex propositions” (758) + as a “substitute for entire communicative actions” (760)
Emoijs as a means of managing interaction in CMC Function types (Pappert 2017): (1) Framing function (Rahmen) (2) Economizing function (Ökonomisieren) (3) Relationship building/management function (Beziehungsgestaltung) (4) Modalizing function (Modalisieren) (5) Commentary/evaluative function (Kommentieren/Evaluieren) (6) Structuring function (Strukturieren) (7) Representation function (Darstellen) (8) Ludic function (Ludische Funktion) (9) Ornament function (Ausschmückung)
Emoijs as a means of managing interaction in CMC I forgot the sandwich! Crap! Can you please take it? ! I will. I‘m arrived! I’m free on July 04! Forgot my tobacco. That never happened to me before. Wonderful!!!!!!
Model of linguistic politeness: face work approach (GOFFMAN 1986, BROWN/LEVINSON 1987) Basic concept: o face: the public self-image that every member of a society wants to claim for him- oder herself and that we typically protect and negotiate in interaction. Two components: o positive face: the want to be respected and appreciated by others; o negative face: the want for privacy and autonomy („I do not want to be disturbed when not necessary and do not want to be expected by others to do something that I do not want by myself “). Face-threats in interaction: o face threatening acts (FTAs): acts which have the potential to – completely or partially – disrespect the face-wants of an interaction partner and, thus, affect their positive and/or negative face.
Model of linguistic politeness: face work approach (GOFFMAN 1986, BROWN/LEVINSON 1987) Politeness strategies: help to deal with potential face-threats in a socially acceptable way are applied to protect the positive and/or negative face of the interaction partner (or of oneself): o by performing ‛redressive actions‘ in order to soften (modalize) a potential face-threat; o by boosting the partnerʼs face (‛face-flattering acts‘, KERBAT-ORECCHIONI 2005; politeness as a ‛social accelerator‘, BROWN/LEVINSON 1987: 103) In our study we are interested in: the detection of (i) face-threatening acts (FTAs) and (ii) face-flattering acts (FFAs) in the data, the identification of emoji instances which in the given context serve as visual boosters or softeners for FTAs/FFAs.
The learning scenario – in a nutshell: The cooperative Learning game Ortho & Graf https://udue.de/orthoundgraf Beißwenger, Michael; Meyer, Lena (2018): Ortho & Graf: ein Wiki-basiertes Planspiel zur Förderung von Rechtschreibkompe- tenzen in der Sekundarstufe II. In: Steffen Gailberger & Frauke Wietzke (Hrsg.): Deutschunterricht in einer digitalen Gesellschaft. Unterrichtsanregungen für die Sekundarstufen. Weinheim: Beltz Juventa, 296-330. Beißwenger, Michael; Meyer, Lena (2019, in press): Gamification als Schlüssel zu „trockenen“ Themen? Beobachtungen und Analysen zu einem webbasierten Planspiel zur Förderung orthographischer Kompetenz. In: Karin Beckers & Marvin Wasser- mann (Hrsg.): Wissenskommunikation im Web. Sprachwissenschaftliche und didaktische Perspektiven. Frankfurt: Peter Lang.
game phase 1: investigation request game phase 3: internal audit game phase 2: case file with investigation result & rationale
Task for game phase 3 Please Pleasecheck checkthe theselected selectedcasecasefiles filesfor forplausibility: plausibility: IsIsthe theinvestigators‘ investigators‘result resultcomprehensible? comprehensible?Does Doesthe theassign- assign- ment mentof ofthe theresult resultto toan anarticle articleof ofthe theset setof ofrules rulesseem seemtrace- trace- able ableand andhave havethe theinvestigators investigatorsjustified justifiedtheir theirdecision decisioncom- com- prehensibly? prehensibly?Has Hasthe thefile filebeen beencompleted completedaccurately? accurately? Please Pleaseprovide provideshort shortwritten writtenfeedback feedbackto tothe theinvestigators. investigators. Highlight Highlightwhat whatyou youconsider considerthe thestrengths strengthsofoftheir theiranalysis, analysis, but butplease pleasealso alsoaddress addressaspects aspectsthat thatare arein inneed needof ofimprove- improve- ment. ment.Try Tryto toformulate formulateproposals proposalsand andsuggestions suggestionsas asconstruc- construc- tively tivelyand andconcisely conciselyas aspossible. possible.Please Pleasekeep keepin inmind mindthat thatthe the investigators investigatorswhose whosecases casesyou youevaluate evaluateare areyour yourpeers! peers!
Performing the task implies face-threats in several respect: (1) w.r.t. the negative face of the addressees: It can be seen as a limitation of their autonomy (“Your case file needs to be revised”). (2) w.r.t. the positive face of the addressees as their work is criticised. (3) w.r.t. the positive face of the author as the addressees may consider her or him as a smart aleck. Hypothesis: Since the students had to perform the task in order to successfully complete the seminar, they try to solve this risky task in a socially acceptable way. Emojis are adopted for softening face threats and for being polite.
How students solve the task: an example
The data Data set: 680 posts from three instantiations of the game in seminars with teacher students at the UDE during the summer semester 2017 (95 students in total, 65 actively participating in game phase 3). post 1 post 2 post 3 post 4
Classification of the data (1) Identify all posts which contain a reactive component (i.e. which do not only perform the feedback task but also reply to a previous post on the same talk page) and remove them to keep the data set homogeneous. (2) For all remaining posts: Identify all posts which contain at least one FTA. FTA is the case when an utterance suggests revision of a case file and/or criticises the case file or parts of it and/or presents an alternative opinion about the solution of the case described in the file. Remove all posts which do not contain an FTA. (3) For all remaining posts: Remove posts which do not include at least one emoji or emoticon. (4) For all remaining posts: Besides the FTAs, also identify all FFAs. FFAs = „acts, which are like the positive side of the FTAs, acts that reinforce the other’s face“ (KERBRAT-ORECCHIONI 2005: 30-31)
Classification of the data Data set: 680 posts from three instantiations of the game in seminars with teacher students at the UDE during the summer semester 2017 (95 students in total, 65 actively participating in game phase 3). Classification results: Posts which include a reactive component: 120 Posts which contain FFAs only: 216 Posts which contain at least one FTA and no reactive 343 component ... plus at least one emoji / emoticon: 229 (Subset 1) ... and only FTAs: 62 (Subset 2) ... and both FTAs and FFAs: 167
How emojis contribute to face work in our data (1) as boosters: they support and intensify the effects of face-related acts: (1.1) FFA boosters: emojis supporting a face-flattering act. (1.2) FTA boosters: emojis supporting a face-threatening act. (2) as softeners: they are used to modalise the effect of an FTA: (2.1) modalising by positioning: the emoji is used to mitigate the claim of validity for an act of critique by indicating that the critique might be unjustified. (2.2) modalising by characterising an FTA as facetious (2.3) modalising by characterising the FTA as an action within a ludic context
How emojis contribute to face work in our data FFA boosters:
How emojis contribute to face work in our data (1) as boosters: they support and intensify the effects of face-related acts: (1.1) FFA boosters: emojis supporting a face-flattering act. (1.2) FTA boosters: emojis supporting a face-threatening act. (2) as softeners: they are used to modalise the effect of an FTA: (2.1) modalising by positioning: the emoji is used to mitigate the claim of validity for an act of critique by indicating that the critique might be unjustified. (2.2) modalising by characterising an FTA as facetious (2.3) modalising by characterising the FTA as an action within a ludic context
How emojis contribute to face work in our data FTA boosters:
How emojis contribute to face work in our data (1) as boosters: they support and intensify the effects of face-related acts: (1.1) FFA boosters: emojis supporting a face-flattering act. (1.2) FTA boosters: emojis supporting a face-threatening act. (2) as softeners: they are used to modalise the effect of an FTA: (2.1) modalising by positioning: the emoji is used to mitigate the claim of validity for an act of critique by indicating that the critique might be unjustified. (2.2) modalising by characterising an FTA as facetious (2.3) modalising by characterising the FTA as an action within a ludic context
How emojis contribute to face work in our data softeners: modalising by positioning:
How emojis contribute to face work in our data (1) as boosters: they support and intensify the effects of face-related acts: (1.1) FFA boosters: emojis supporting a face-flattering act. (1.2) FTA boosters: emojis supporting a face-threatening act. (2) as softeners: they are used to modalise the effect of an FTA: (2.1) modalising by positioning: the emoji is used to mitigate the claim of validity for an act of critique by indicating that the critique might be unjustified. (2.2) modalising by characterising an FTA as facetious (2.3) modalising by characterising the FTA as an action within a ludic context
How emojis contribute to face work in our data softeners: modalising by characterising the FTA as facetious:
How emojis contribute to face work in our data (1) as boosters: they support and intensify the effects of face-related acts: (1.1) FFA boosters: emojis supporting a face-flattering act. (1.2) FTA boosters: emojis supporting a face-threatening act. (2) as softeners: they are used to modalise the effect of an FTA: (2.1) modalising by positioning: the emoji is used to mitigate the claim of validity for an act of critique by indicating that the critique might be unjustified. (2.2) modalising by characterising an FTA as facetious (2.3) modalising by characterising the FTA as an action within a ludic context
How emojis contribute to face work in our data softeners: characterising the FTA as an action within a ludic context:
Politeness strategies with emojis: results from a classification of emojis occurrences in the data Data set: 680 posts from three instantiations of the game in seminars with teacher students at the UDE during the summer semester 2017 (95 students in total, 65 actively participating in game phase 3). Three categories of posts: (1) Posts which include a reactive component: 120 (2) Posts which contain FFAs only: 216 (3) Posts which contain at least one FTA and no reactive 343 component (3.1) ... plus at least one emoji / emoticon: 229 (3.1.1) ... and only FTAs: 62 (3.1.2) ... and both FTAs and FFAs: 167
Politeness strategies with emojis: results from a classification of emojis occurrences in the data emojis are rather used to soften than to boost posts containing FTAs
Politeness strategies with emojis: results from a classification of emojis occurrences in the data When occuring together with FTAs (69 cases), emojis are rather used as softeners (53) than as boosters (16). Emojis are used twice as often as FFA boosters than as FTA softeners. 57% of all posts in the data set (87) contain FFA boosters only.
A frequent pattern: softening FTAs by boosting an FFA (87 out of 153 cases)
Face work with emojis: interpretation of our findings Even though the given task („provide peer feedback“) encou- rages learners to critically discuss each other‘s results, the authors of feedback posts rather use emojis to soften than to highlight their critique. Besides that, the „1st choice strategy“ for mitigating the effects of FTAs using emojis is obviously not the use of emojis as moda- lisers; instead, authors of feedback posts use emojis as boosters for FFAs while FTAs performed in the same post are not accom- panied by an emoji at all. “bird‘s eye view politeness”: In posts of that type the FFA component is visually highlighted as salient whereas the FTAs are not discovered until the addressee actually reads the post. Strategy: collect social credits in advance and make the addressee feel great before s/he discovers the critique.
Conclusion and outlook Media Linguistics / Pragmatic analyses of practices: o This study: modeling the coontribution of emojis to face work practices on the basis of data from a ‘controlled’ environment (the analysed posts are all approaches to the solution of one and the same task). Findings can form the basis for investigations on face work practices in CMC in other contexts (e.g. everyday whatsapp interactions). o Corpora needed for analyses on a broader basis – e.g. the Whats Up, Switzerland (Ueberwasser & Stark 2017) or the MoCoDa2 corpus (Beißwenger, Fladrich, Imo & Ziegler 2018). Media Didactics: o Emojis are used by the learners not only as nice little „gimmicks“ but as resources to deal with a given task. Findings can contribute to the design and further development of scenarios for digitally enhanced learning where learners are expected to perform tasks which may result in potential face threats.
Book chapter (in press) Michael Beißwenger/Steffen Pappert (2019, in press): Face work mit Emojis. Was linguistische Analysen zum Verständnis sprachlichen Handelns in digitalen Lernumgebungen beitragen können. In: Michael Beißwenger & Matthias Knopp (eds.): Soziale Medien in Schule und Hochschule: Linguistische, sprach- und mediendidaktische Perspektiven. Frankfurt: Peter Lang (Reihe „Forum Angewandte Linguistik“).
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Face work with emojis in a didactic peer-feedback setting: A pragmatic analysis Michael Beißwenger · Steffen Pappert Universität Duisburg-Essen Final Workshop. 18th–20th October 2018, Zurich
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