320 research outputs found
Legal and Ethical Implications of Mobile Live-Streaming Video Apps
The introduction of mobile apps such as Meerkat, Periscope, and Facebook Live has sparked enthusiasm for live-streaming video. This study explores the legal and ethical implications of mobile live-streaming video apps through a review of public-policy considerations and the computing literature as well as analyses of a mix of quantitative and qualitative user data. We identify lines of research inquiry for five policy challenges and two areas of the literature in which the impact of these apps is so far unaddressed. The detailed data gathered from these inquiries will significantly contribute to the design and development of tools, signals or affordances to address the concerns that our study identifies. We hope our work will help shape the fields of ubiquitous computing and collaborative and social computing, jurisprudence, public policy and applied ethics in the future
Sensemaking Practices in the Everyday Work of AI/ML Software Engineering
This paper considers sensemaking as it relates to everyday software engineering (SE) work practices and draws on a multi-year ethnographic study of SE projects at a large, global technology company building digital services infused with artificial intelligence (AI) and machine learning (ML) capabilities. Our findings highlight the breadth of sensemaking practices in AI/ML projects, noting developers' efforts to make sense of AI/ML environments (e.g., algorithms/methods and libraries), of AI/ML model ecosystems (e.g., pre-trained models and "upstream"models), and of business-AI relations (e.g., how the AI/ML service relates to the domain context and business problem at hand). This paper builds on recent scholarship drawing attention to the integral role of sensemaking in everyday SE practices by empirically investigating how and in what ways AI/ML projects present software teams with emergent sensemaking requirements and opportunities
Topicality and Social Impact: Diverse Messages but Focused Messengers
Are users who comment on a variety of matters more likely to achieve high
influence than those who delve into one focused field? Do general Twitter
hashtags, such as #lol, tend to be more popular than novel ones, such as
#instantlyinlove? Questions like these demand a way to detect topics hidden
behind messages associated with an individual or a hashtag, and a gauge of
similarity among these topics. Here we develop such an approach to identify
clusters of similar hashtags by detecting communities in the hashtag
co-occurrence network. Then the topical diversity of a user's interests is
quantified by the entropy of her hashtags across different topic clusters. A
similar measure is applied to hashtags, based on co-occurring tags. We find
that high topical diversity of early adopters or co-occurring tags implies high
future popularity of hashtags. In contrast, low diversity helps an individual
accumulate social influence. In short, diverse messages and focused messengers
are more likely to gain impact.Comment: 9 pages, 7 figures, 6 table
MMM: May I Mine Your Mind?
Consider the following set-up for the plot of a possible future episode of
the TV series Black Mirror: human brains can be connected directly to the net
and MiningMind Inc. has developed a technology that merges a reward system with
a cryptojacking engine that uses the human brain to mine cryptocurrency (or to
carry out some other mining activity). Part of our brain will be committed to
cryptographic calculations (mining), leaving the remaining part untouched for
everyday operations, i.e., for our brain's normal daily activity. In this short
paper, we briefly argue why this set-up might not be so far fetched after all,
and explore the impact that such a technology could have on our lives and our
society.Comment: 4 pages, 0 figure, Accepted at the "Re-Coding Black Mirror" workshop
of the International World Wide Web Conferences (WWW
Towards a Smarter organization for a Self-servicing Society
Traditional social organizations such as those for the management of
healthcare are the result of designs that matched well with an operational
context considerably different from the one we are experiencing today. The new
context reveals all the fragility of our societies. In this paper, a platform
is introduced by combining social-oriented communities and complex-event
processing concepts: SELFSERV. Its aim is to complement the "old recipes" with
smarter forms of social organization based on the self-service paradigm and by
exploring culture-specific aspects and technological challenges.Comment: Final version of a paper published in the Proceedings of
International Conference on Software Development and Technologies for
Enhancing Accessibility and Fighting Info-exclusion (DSAI'16), special track
on Emergent Technologies for Ambient Assisted Living (ETAAL
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