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WHO SAID IT?
„In just a few years the Internet has enabled us to realize the dreams of
Enlightenment philosophers, making our store of knowledge accessible to the
widest possible audience. Democracy and human rights have been reinforced,
States have been incited to greater transparency and, in some countries,
oppressed peoples have been empowered to make their voices heard and to act
collectively in the name of freedom.“ (Nicolas Sarkozy, welcome note, e-G8 summit, 05/2011)
3. 1
Media & Opinion Formation
(in a Nutshell)
The Media Logic of Online
Intermediaries
The Participation Paradox3
2
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MEDIA & OPINION FORMATION (IN A NUTSHELL) (*)
Forming, confirming or changing your
stance on issues of collective relevance
Gaining knowledge about events,
issues and alternatives
Assessing agenda and
framing of topics
Perceiving distribution of
opinions around you
How do online intermediaries affect
these aspects of opinion formation?
(*) See, for example, Scheufele/Tewksbury 2006; Schenk 2007
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MEDIA LOGIC OF INTERMEDIARIES
Social Media act as intermediaries online: They
do not create the content they host, but
provide affordances for others to distribute /
find content
Intermediaries prefer to be seen as „plat-
forms“, suggesting that they are mere facilita-
tors of communication and interaction (*)
Intermediaries, however, have their own media
logic which is far from neutral, but rather has a
strong influence on information flow
(*) Gillespie 2010
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MEDIA LOGIC 1: DE-/RE-BUNDLING
Social media platforms provide information
from different sources: professional
journalism, political parties and politicians,
corporate and brand communication,
celebrities, personal contacts,…
They present them not as discrete packages
of content (i.e. „edition“; „news show“), but as
constantly updated flow of microcontent
(„streams“; „feeds“; „autoplay“)
Selection and filtering is moving from editors
to users and to algorithms (with largely
unknown & intransparent parameters)
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MEDIA LOGIC 2: PERSONALIZATION
Social media platforms personalize
information repertoires:
a) Users‘s individual network of
contacts is unique;
b) Filter and recommendation
algorithms draw on previous
activities and metadata to suggest
further content and contacts
Promise of personalization: „better“ and
„more relevant“ content (including
advertisement)
But: personalization requires extensive data
collection and might lead to filter bubbles
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MEDIA LOGIC 3: CONVERGENCE OF MODES
• Social media platforms support both „publication“ and
„conversation“ – two modes of communication which
previously have been confined to separate media
a) Publishers increasingly rely on social media to distribute
their content and gain audiences
b) Active users comment, share, retweet, like, etc. these
stories
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DYSFUNCTIONAL SCENARIOS
Filter Bubble Scenario: Social Media provides people
only with information in line with previous interests
Echo Chamber Scenario: Social Media allows people
to remain in (or retrench to) groups which constantly
affirm their established opinions and world views
Hate Speech Scenario: Social Media fosters spread
of harmful, racist, hostile, sexist, … communication
impeding constructive debates
Learnings from empirical studies(*): Scenarios…
…need particular combination(s) of
psychological, sociological and technological
factors
…apply for certain groups and contexts, but not
as a general pattern for all users
Retweet Networks; ~ Q1 2017
http://digitalpresent.tagesspiegel.de/afd
(*) e.g. Dubois/Blank 2018; Ernst et al 2017; Flaxman et al. 2016; Fletcher/Nielsen 2017;
Heatherly et al. 2017; Mocanu et al. 2015; Schmidt et al. 2019
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THE PARTICIPATION PARADOX
Participating in conversations,
sharing experiences and
opinions
Standing up for community
standards by flagging offensive
content, reporting fake news
and profiles
Deciding about rules and
structures of shared
communicative spaces
Harvesting user-generated
content and data as essential
part of business models
Exploiting work done by
users without adequate
compensation
Hedging users in
commercialized and un-
democratic „golden cages“
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CONCLUSION
Online intermediaries promise to broaden access to diverse
information, to gain insights into the distribution of opinions
within extended social networks, and to be able to express &
debate one‘s opinion on topics of broader relevance
On the other hand, they afford the emergence of isolated and
fragmented clusters of users as well as the spread of harmful
and destructive speech
Key challenges for media policy include:
Enforcing transparent filtering & recommendation mechanisms
supporting citizens in gaining „intermediary literacy“
stimulating alternatives to data-&-ad-driven business models
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REFERENCES
Slide 4
[Billag] http://www.werbewoche.ch/medien/2018-03-06/tamedia-analyse-erklaert-wuchtiges-nein-zur-no-billag-initiative
[Flüchtlinge] Christian Michelides - Eigenes Werk, CC-BY-SA 4.0, https://commons.wikimedia.org/w/index.php?curid=44805655
Slide 8:
[Konversation]: CC-BY-NC-ND-2.0, Dominic Dada, http://www.flickr.com/photos/ogil/274628990/
Slide 10:
[Sharing] CC BY-NC-ND 2.0, Stephen Desroches, http://www.flickr.com/photos/focusedonlight/2795746704/
[Demonstration] CC BY-NC-ND 2.0, Dom Dada, http://www.flickr.com/photos/ogil/1842123447/
[Barcamp] CC BY-NC-ND 2.0, Nathanael Boehm, http://www.flickr.com/photos/purecaffeine/1226101959/
Extended Bibliography
Dubois, E., & Blank, G. (2018). The echo chamber is overstated: The moderating effect of political interest and diverse media. Information, Communication & Society, 21(5), 729–745.
doi:10.1080/1369118X.2018.1428656
Ernst, N., Engesser, S., Büchel, F., Blassnig, S., & Esser, F. (2017). Extreme parties and populism: An analysis of Facebook and Twitter across six countries. Information, Communication & Society,
20(9), 1347–1364. doi:10.1080/1369118X.2017.1329333
Flaxman, S., Goel, S., & Rao, J. M. (2016). Filter bubbles, echo chambers, and online news consumption. Public Opinion Quarterly, 80(S1), 298–320. doi:10.1093/poq/nfw006
Fletcher, R., & Nielsen, R. K. (2017). Are news audiences increasingly fragmented? A cross-national comparative analysis of cross-platform news audience fragmentation and duplication. Journal
of Communication, 67(4), 476–498. doi:10.1111/jcom.12315
Gillespie, Tarleton (2010): The politics of ‚platforms‘. In: New Media & Society, 12(3), 347-364
Gillespie, Tarleton (2018): Custodians of the Internet. Platforms, Content Moderation, and the Hidden Decisions That Shape Social Media. New Haven.
Heatherly, K. A., Lu, Y., & Lee, J. K. (2017). Filtering out the other side? Cross-cutting and like-minded discussions on social networking sites. New Media & Society, 19(8), 1271–1289.
doi:10.1177/1461444816634677
Mocanu, D., Rossi, L., Zhang, Q., Karsai, M., & Quattrociocchi, W. (2015). Collective attention in the age of (mis)information. Computers in Human Behavior, 51, 1198–1204.
doi:10.1016/j.chb.2015.01.024
Pariser, Eli (2011): The Filter Bubble. New York.
Schmidt, Jan (2011): Das neue Netz. Merkmale, Praktiken und Konsequenzen des Web 2.0. Konstanz.
Schmidt, Jan (2018): Social Media. 2. Auflage Wiesbaden.
Sunstein, Cass (2009): Republic.com 2.0. Princeton.
Schmidt, Jan-Hinrik / Lisa Merten / Uwe Hasebrink / Isabelle Peters / Amelie Rolfs (2019): How Do Intermediaries Shape News-Related Media Repertoires and Practices? Findings From a
Qualitative Study. In: International Journal of Communication, Vol. 13 (2019), S. 853-873.
[Billag] http://www.werbewoche.ch/medien/2018-03-06/tamedia-analyse-erklaert-wuchtiges-nein-zur-no-billag-initiative[Flüchtlinge] Christian Michelides - Eigenes Werk, CC-BY-SA 4.0, https://commons.wikimedia.org/w/index.php?curid=44805655
Schenk, Michael (2007): Medienwirkungsforschung. 3., vollst. überarb. Aufl. Tübingen: Mohr Siebeck.
Scheufele, Dietram A. / David Tewksbury (2006): Framing, Agenda Setting, and Priming: The Evolution of Three Media Effects Models. In: Journal of Communication, 57 (1), 2007, S. 9-20.
Gillespie, Tarleton (2010): The politics of ‚platforms‘. In: New Media & Society, 12(3), 347-364
Dubois, E., & Blank, G. (2018). The echo chamber is overstated: The moderating effect of political interest and diverse media. Information, Communication & Society, 21(5), 729–745. doi:10.1080/1369118X.2018.1428656
Ernst, N., Engesser, S., Büchel, F., Blassnig, S., & Esser, F. (2017). Extreme parties and populism: An analysis of Facebook and Twitter across six countries. Information, Communication & Society, 20(9), 1347–1364. doi:10.1080/1369118X.2017.1329333
Flaxman, S., Goel, S., & Rao, J. M. (2016). Filter bubbles, echo chambers, and online news consumption. Public Opinion Quarterly, 80(S1), 298–320. doi:10.1093/poq/nfw006
Fletcher, R., & Nielsen, R. K. (2017). Are news audiences increasingly fragmented? A cross-national comparative analysis of cross-platform news audience fragmentation and duplication. Journal of Communication, 67(4), 476–498. doi:10.1111/jcom.12315
Gillespie, Tarleton (2018): Custodians of the Internet. Platforms, Content Moderation, and the Hidden Decisions That Shape Social Media. New Haven.
Heatherly, K. A., Lu, Y., & Lee, J. K. (2017). Filtering out the other side? Cross-cutting and like-minded discussions on social networking sites. New Media & Society, 19(8), 1271–1289. doi:10.1177/1461444816634677
Mocanu, D., Rossi, L., Zhang, Q., Karsai, M., & Quattrociocchi, W. (2015). Collective attention in the age of (mis)information. Computers in Human Behavior, 51, 1198–1204. doi:10.1016/j.chb.2015.01.024
Pariser, Eli (2011): The Filter Bubble. New York.
Schmidt, Jan-Hinrik / Lisa Merten / Uwe Hasebrink / Isabelle Peters / Amelie Rolfs (2019): How Do Intermediaries Shape News-Related Media Repertoires and Practices? Findings From a Qualitative Study. In: International Journal of Communication, Vol. 13 (2019), S. 853-873.