| Date & time | Sep 28 '21 |
| Location | Campusvej 55, 5230 Odense M |
| Creator | gwaters |
| Category | call |

The Digital Democracy Center invites
applications for one or more positions as Postdoc. The position is
located in the newly launched Digital Democracy Centre DDC at SDU (www.sdu.dk/ddc/). The position is vacant from January 15, 2022 (or as soon as possible)
The DDC stands for a socio-technical, interdisciplinary
approach combining theory and methods from social sciences and computer
science, to study the impact of digital technology and AI on media,
politics, and democracy. One of the largest challenges in this area is
that research and new solutions are developed in single disciplines,
which neglect the fact that current challenges are technological and
social, legal, and ethical in nature. Through its research DDC will
bridge this gap.
Job description
We seek applications for the following projects (It is possible to apply for more than one project.
If you wish to be considered for more than one project position, please see information under “Application” below)
I. Trust and News Authenticity
Many
people find it hard to judge the quality of information online. This
contributes to worries and a sense of feeling unsafe in the digital
information ecology. Much attention thus far has gone towards flagging
problematic (‘fake’) content and providing post-hoc fact checking. This
project proposes a new approach: it develops a digital signature to be
attached to journalistic content and a recognizable label for users to
see if the content is authentic and verified. The project develops,
tests, and provides a large scale test of the effectiveness of this
system which can help to improve trust and a sense of safety in the
online information environment. For the project we are looking for a
candidate with a (computational) social science/ communication science
background.
II. The Social Media News Consumer
How
do news consumers navigate social media when it comes to news? What are
mechanisms of selection and engagement? Or mechanisms of avoidance?
Citizens’ news use on social media platforms has significant democratic
implications. In this project we aim at understanding why people select
and avoid certain news stories on social media, including the roles
played by characteristics of the individual news consumer, the
individual news items, and the context of the social media site. The
project will mainly be based on experimental studies. A main part of the
project will be co-testing and developing a mock social media platform
for this purpose in close collaboration with a software developer. The
successful candidate will work on an interdisciplinary project in the
intersection of social science and computational science.
III. Buying you (or your data): legal challenges from a user perspective
Data
buyers operate, among other things, by paying for code space to embed a
script in a commercial service or commercial IoT device, such as a
watch or a refrigerator. The script acts as a subscription to the user's
data, by providing access to the respective metrics, which can then be
resold to the highest bidder. The data sets are used for precise
(micro-) targeting. This targeting can be commercial, but politically
motivated. This project will study the "user conditions" that allow
subscriptions to user data, mainly in relation to IoT devices, including
the extent to which subscription traps exist. Is the redistribution of
your data to third parties a precondition for (fully) using the device?
Are such terms of use at all compatible with data protection law and the
fundamental right to privacy. What are the variations and commonalities
in the applied terms of use, and how do the retail price of the
service/IoT-device reflect the hidden "data price". The successful
candidate will work on an interdisciplinary project in the intersection
of law and empirical social science.
IV. The AI newsroom
News
media organisations are changing in response to processes of
digitalization, new (audience) metrics, and AI. News organizations
increasingly implement automated production tools, audience metrics and
new ways of producing journalism based on AI. This poses challenges for
existing practices and conventions in journalistic work. This project
has two components: the first will study the effects of the
implementation of AI, audience metrics and automated content generation
on journalistic practices, routines and the organization of the
journalistic production process. The second will focus on the
development of automation and AI tools for journalistic practice. This
will involve developing (prototype) an AI application which will
subsequently be test in-house with partner news organisations. For the
first project we are looking for a candidate with a social science/
communication science background.
V. The Evolution of AI-based Organizations
Organizations
evolve over time in response to environmental demands, including new
digital technologies and AI. How has the ecology of news media
organizations developed over time? In what way has the digital
transformation of society influenced the evolution of news
organizations? Why do some news organizations thrive and adapt, while
others do not? And how do the observed demographic changes in the
population of news organizations relate to higher-level changes in the
news-ecosystem? And in what ways do these developments imply changes in
the quality of news provision in society To address these questions,
this project will develop an organizational population ecology, as
applied to news media organizations as a collection of competing and
cooperating organizations. It will examine the life histories of the
relevant population(s) of news media organizations, including their
composition and diversity as well as their creation, change, and demise
over time. The project is highly interdisciplinary in nature, drawing on
state-of-the-art methods in demography, organizational adaptation and
evolution as well as recent advances in psychology and law. While the
project is general in principle, the focus is on Danish (European) news
media organizations. For the project we look for a candidate interested
in interdisciplinary work with a background in business, economics, or a
related discipline, including (preferably) econometric skills.
Further information can be obtained from the Director of the Centre, Prof. dr. Claes de Vreese; email [email protected].
Application, salary, etc.
Appointment to the position requires a PhD or equivalent and will be in accordance with the salary agreement between the Ministry of Finance and the Danish Confederation of Professional Associations.
The position is temporary, for a period of 2 years with the possibility of extension.
Talented
postdoc applicants might be elgible to apply for a DIAS asssitant
professor fellow position or an assistant professorship (tenure track).
There are separate applications, but it might be of interest to talented
applicants.
Research will be predominant in the position.
Contribution to the Centre activities is expectated. Teaching
assignments can be agreed individually. Furthermore, other types of
assignments (e.g., grants application support) may occur to a limited
degree.
The University determines the distribution of the various
assignments. The weighting of the different assignments may vary over
time.
Upgrading of pedagogical qualifications is not a part of
this position. Employment as Postdoc alone will thus not qualify to
appointment as Associate Professor/Senior Researcher.
An application must include:
Assessment of applications will be done under existing Appointment Order for universities.
Applications
will be assessed by an assessment committee. The committee may request
additional information, and if so, it is the responsibility of the
applicant to provide the necessary material.
When the assessment
committee has submitted its report, the applicant will receive the part
of the evaluation that concerns him/her.
Applications that are incomplete with regard to the above requirements will not be assessed by the committee.
Shortlisting and tests may be used in the assessment process.
The
University wishes our staff to reflect the diversity of society and
thus welcomes applications from all qualified candidates regardless of
personal background.
As part of the overall assessment of the applicant’s qualifications, an interview may be applied.
Applications
must be submitted electronically using the link "Apply online".
Uploaded files must be in Adobe PDF (unlocked) or Word format.
Read the guideline for applicants
Each field can only contain a single file of max. 10 Mb.
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