i/o: enforcing idealized news making practices through algorithms

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ENFORCING IDEALIZED NEWSMAKING PRACTICES THROUGH ALGORITHMS I/O HELLO WORLD_ HELLO WORLD_ luc1anø_frizz3ra

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Page 1: I/O: Enforcing Idealized News Making Practices Through Algorithms

ENFORCING IDEALIZED NEWSMAKING PRACTICES THROUGH ALGORITHMS

I/O

HELLO WORLD_HELLO WORLD_

luc1anø_frizz3ra

Page 2: I/O: Enforcing Idealized News Making Practices Through Algorithms

ALGØR1THMIC N3WS01010011 01110100 01100001 01110010 01110100

Who (what) will be responsible for writing the news in the future?

A/B TESTINGAUTOMATED NEWS

What if we click on the same link that leads to

the same article but end up reading very

different texts?

How algorithmic media affect some of the core values of newsmaking?

Page 3: I/O: Enforcing Idealized News Making Practices Through Algorithms

TRADITIONAL MEDIA

JOURNALISM / NEWSMAKING / GATEKEEPINGInstitution residing at the intersection of complex economic organizations and an

equally complex set of norms and procedures.

Keep the public informed.

Newsworthiness News value of an event.

ObjectivityUnbiased and impartial.

EfficiencyMinimum expenditure of time, effort, and money.

GatekeepingRegulate the flow of

information.

Page 4: I/O: Enforcing Idealized News Making Practices Through Algorithms

ALGORITHMIC NEWS

A collection of rules and of predefined tasks and procedures: intermingle of pre-established technical protocols, codes of

conduct, and an ideological practice of newsmaking.

Functionalities and effects map quite closely with media institution and journalist practices.

Shape user behaviour

Influence public opinion

Impact in content production decisions

DIGITAL MEDIA

Page 5: I/O: Enforcing Idealized News Making Practices Through Algorithms

DIGITAL MEDIA

ALGORITHMIC NEWS

A new form of encoder/decoder of society, a new gatekeeper ‘organism’ that regulates flows of information.

Formalization of current practices materialized in computer codes: transcoding a set of rules and values already established

by journalism practice into another milieu — into the machine.

Algorithms are opaque, not easy read or to be stopped.

Page 6: I/O: Enforcing Idealized News Making Practices Through Algorithms

A/B TESTING

Page 7: I/O: Enforcing Idealized News Making Practices Through Algorithms

A/B TESTING

Half of the audience sees one version and the other half sees the other version. The title with most clicks becomes the final one.

Page 8: I/O: Enforcing Idealized News Making Practices Through Algorithms

A/B TESTING

Screenshot of a Visual Revenue A/B testing tool.

Permalink reveals the original title on Buzzfeed.

Page 9: I/O: Enforcing Idealized News Making Practices Through Algorithms

A/B TESTING

▸ Used to improve “engagement”.

▸ Not the most interesting title, but the most effective one.

▸ Click Bait: Manipulate the audience to generate more revenue.

▸ Unauthorized experiment: unethical practice.

▸ Distort the way events are represented: readers cannot know if they are getting the same information as other readers.

Page 10: I/O: Enforcing Idealized News Making Practices Through Algorithms

AUTOMATED NEWS

Page 11: I/O: Enforcing Idealized News Making Practices Through Algorithms

▸ ‘Bots’ programmed to read datasets and find/craft meaningful information derived from the data.

▸ Reduce or eliminate human element (efficiency, low cost).

AUTOMATED NEWS

@earthquakeBot

Page 12: I/O: Enforcing Idealized News Making Practices Through Algorithms

AUTOMATED NEWS

Who, what, why, when, where, and how.

▸ Journalistic writing is easy to automatize.

Page 13: I/O: Enforcing Idealized News Making Practices Through Algorithms

NARRATIVE SCIENCE

▸ “Narrative Science is humanizing data like never before, with technology that interprets your data, then transforms it into intelligent narratives at unprecedented speed and scale.”

▸ “Beyond simply telling you what the data is, Intelligent Narratives tell you why.”

▸ “The software uses specific sets of data to answer questions about the state of the world for its user”

AUTOMATED NEWS

Page 14: I/O: Enforcing Idealized News Making Practices Through Algorithms

▸ Machines are perceived as objective and reliable to produce representations of reality: same sort of value long attached to journalism.

▸ Code bias: News value and newsworthiness have to be hard coded into the system.

▸ Data bias: These machines can learn from the data and adjust accordingly.

AUTOMATED NEWS

Page 15: I/O: Enforcing Idealized News Making Practices Through Algorithms

TAY [AI CHAT BOT]AUTOMATED NEWS

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01000101 01101110 01100100 00100000

▸ Strong intersections between the functionality of algorithms and the practice of journalism.

▸ New methods of gatekeeping:

▸ New encoder/decoder of society.

▸ Not just code running on machines: a mix of human editors and machine code designed by humans.

▸ Perpetuates the gatekeeping function and keeps control of flows of information in the hands of large economic organizations.

FORMALIZE IDEALIZED NEWSMAKING PRACTICES AND PROTOCOLS

Page 17: I/O: Enforcing Idealized News Making Practices Through Algorithms

THANK YOU

Page 18: I/O: Enforcing Idealized News Making Practices Through Algorithms

THANK YOU

Page 19: I/O: Enforcing Idealized News Making Practices Through Algorithms

THANK YOUif (Do you have any question? || Comments?) { >_}

/*

* i/o: enforcing idealized newsmaking practices through algorithms** luciano frizzera* [email protected]* concordia university*/

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BIBLIOGRAPHYBozdag, E. (2013). Bias in algorithmic filtering and personalization. Ethics and Information Technology, 15(3), 209–227. http://doi.org/10.1007/s10676-013-9321-6

Carey, J. (1989). A Cultural Approach to Communication. In Communication as Culture (pp. 13–36). Boston: Allen Unwin.

Hall, S. (1980). Encoding/Decoding. In S. Hall (Ed.), Culture, Media, Language (Vol. 2, pp. 128–138). London: Hutchinson.

Herbst, J. (2016). The Algorithm Is an Editor. The Wall Street Journal. New York. Retrieved from http://www.wsj.com/articles/the-algorithm-is-an-editor-1460585346

Lesage, F., & Hackett, R. A. (2014). Between Objectivity and Openness: The Mediality of Data for Journalism. Media and Communication, 1(1), 39–50. http://doi.org/10.17645/mac.v1i1.73

Napoli, P. M. (2014). Automated Media: An Institutional Theory Perspective on Algorithmic Media Production and Consumption. Communication Theory, 24(3), 340–360. http://doi.org/10.1111/comt.12039

NarrativeScience. (n.d.). Retrieved April 15, 2016, from https://www.narrativescience.com

Oremus, W., & Brogan, J. (2014). The First News Report on the L.A. Earthquake Was Written by a Robot. Slate. Retrieved from http://www.slate.com/blogs/future_tense/2014/03/17/quakebot_los_angeles_times_robot_journalist_writes_article_on_la_earthquake.html

Soberman, J. (2013). Designing from data - How news organizations use A/B testing to increase user engagement. Retrieved from http://knightlab.northwestern.edu/2013/08/15/designing-from-data-how-news-organizations-use-ab-testing-to-increase-user-engagement/

Walker, A. (2014). Quakebot: An Algorithm That Writes the News About Earthquakes. Retrieved April 15, 2016, from http://gizmodo.com/quakebot-an-algorithm-that-writes-the-news-about-earth-1547182732

Wolf, M. (1987). Teorias da comunicação. (M. J. V. de Figueiredo, Trans.). Lisboa: Presença.