What is Your Organization 'Like'?: A Study of Liking Activity in the
Enterprise
Workplace Social Performance
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Guy, Ido
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Ronen, Inbal
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Zwerdling, Naama
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Zuyev-Grabovitch, Irena
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Jacovi, Michal
Proceedings of the ACM CHI'16 Conference on Human Factors in Computing
Systems
2016-05-07
v.1
p.3025-3037
© Copyright 2016 ACM
Summary: The 'like' button, introduced by Facebook several years ago, has become one
of the most prominent icons of social media. Similarly to other popular social
media features on the web, enterprises have also recently adopted it. In this
paper, we present a first comprehensive study of liking activity in the
enterprise. We studied the logs of an enterprise social media platform within a
large global organization along a period of seven months, in which 393,720
'likes' were performed. In addition, we conducted a survey of 571 users of the
platform's 'like' button. Our evaluation combines quantitative and qualitative
analysis to inspect what employees like, why they use the 'like' button, and to
whom they give their 'likes'.
Most liked, fewest friends: patterns of enterprise social media use
Social media in the enterprise
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Mark, Gloria
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Guy, Ido
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Kremer-Davidson, Shiri
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Jacovi, Michal
Proceedings of ACM CSCW 2014 Conference on Computer-Supported Cooperative
Work and Social Computing
2014-02-15
v.1
p.393-404
© Copyright 2014 ACM
Summary: Enterprise social media can provide visibility of users' actions and thus
has the potential to reveal insights about users in the organization. We mined
large-scale social media use in an enterprise to examine: a) user roles with
such broad platforms and b) whether people with large social networks are
highly regarded. First, a factor analysis revealed that most variance of social
media usage is explained by commenting and 'liking' behaviors while other usage
can be characterized as patterns of distinct tool usage. These results informed
the development of a model showing that online network size interacts with
other media usage to predict who is highly assessed in the organization. We
discovered that the smaller one's online social network size in the
organization, the more highly assessed they were by colleagues. We explain this
inverse relationship as due to friending behavior being highly visible but not
yet valued in the organization.
The perception of others: inferring reputation from social media in the
enterprise
Technology and information workers
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Jacovi, Michal
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Guy, Ido
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Kremer-Davidson, Shiri
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Porat, Sara
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Aizenbud-Reshef, Netta
Proceedings of ACM CSCW 2014 Conference on Computer-Supported Cooperative
Work and Social Computing
2014-02-15
v.1
p.756-766
© Copyright 2014 ACM
Summary: The emergence of social media allows people to interact with others all over
the world. During interaction, people leave many traces behind that can reveal
things about themselves, or about how they perceive others: having many
followers may indicate that one is an influencer; forum answers that gain high
ranking, are likely to testify for expertise; people who gain high ranking in
eCommerce sites are likely to be trustworthy. In this paper, we examine whether
public online traces can be used for inferring the reputation of a person as
perceived by others in relation to trustworthiness, influence, expertise, and
impact. We describe a study performed on indicators of reputation that
employees leave in a rich organizational social media platform. We compare
different indicators, and report the results of an extensive user study with
over 500 participants who provided their perception of thousands of others
through a set of hypothetical scenarios.
Mining expertise and interests from social media
Research papers
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Guy, Ido
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Avraham, Uri
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Carmel, David
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Ur, Sigalit
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Jacovi, Michal
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Ronen, Inbal
Proceedings of the 2013 International Conference on the World Wide Web
2013-05-13
v.1
p.515-526
© Copyright 2013 ACM
Summary: The rising popularity of social media in the enterprise presents new
opportunities for one of the organization's most important needs -- expertise
location. Social media data can be very useful for expertise mining due to the
variety of existing applications, the rich metadata, and the diversity of user
associations with content. In this work, we provide an extensive study that
explores the use of social media to infer expertise within a large global
organization. We examine eight different social media applications by
evaluating the data they produce through a large user survey, with 670
enterprise social media users. We distinguish between two semantics that relate
a user to a topic: expertise in the topic and interest in it and compare these
two semantics across the different social media applications.
Digital Traces of Interest: Deriving Interest Relationships from Social
Media Interactions
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Jacovi, Michal
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Guy, Ido
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Ronen, Inbal
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Perer, Adam
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Uziel, Erel
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Maslenko, Michael
Proceedings of the 12th European Conference on Computer-Supported
Cooperative Work
2011-09-24
p.21-40
© Copyright 2011 Springer-Verlag
Summary: Facebook and Twitter have changed the way we consume information, allowing
the people we follow to become our "social filters" and determine the content
of our information stream. The capability to discover the individuals a user is
most interested in following has therefore become an important aspect of the
struggle against information overflow. We argue that the people users are most
interested in following are not necessarily those with whom they are most
familiar. We compare these two types of social relationships -- interest and
familiarity -- inside IBM. We suggest inferring interest relationships from
users' public interactions on four enterprise social media applications. We
study these interest relationships through an offline analysis as well as an
extensive user study, in which we combine people-based and content-based
evaluations. The paper reports a rich set of results, comparing various sources
for implicit interest indications; distinguishing between content-related
activities and status or network updates, showing that the former are of more
interest; and highlighting that the interest relationships include very
interesting individuals that are not among the most familiar ones, and can
therefore play an important role in social stream filtering, especially for
content-related activities.
Do you want to know?: recommending strangers in the enterprise
Enterprise
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Guy, Ido
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Ur, Sigalit
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Ronen, Inbal
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Perer, Adam
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Jacovi, Michal
Proceedings of ACM CSCW'11 Conference on Computer-Supported Cooperative Work
2011-03-19
p.285-294
© Copyright 2011 ACM
Summary: Recent studies on people recommendation have focused on suggesting people
the user already knows. In this work, we use social media behavioral data to
recommend people the user is not likely to know, but nonetheless may be
interested in. Our evaluation is based on an extensive user study with 516
participants within a large enterprise and includes both quantitative and
qualitative results. We found that many employees valued the recommendations,
even if only one or two of nine recommendations were interesting strangers.
Based on these results, we discuss potential deployment routes and design
implications for a stranger recommendation feature.
Same places, same things, same people?: mining user similarity on social
media
He said she said: analyzing interaction patterns
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Guy, Ido
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Jacovi, Michal
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Perer, Adam
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Ronen, Inbal
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Uziel, Erel
Proceedings of ACM CSCW'10 Conference on Computer-Supported Cooperative Work
2010-02-06
p.41-50
Keywords: social media, social networks, social software, user similarity
© Copyright 2010 ACM
Summary: In this work we examine nine different sources for user similarity as
reflected by activity in social media applications. We suggest a classification
of these sources into three categories: people, things, and places. Lists of
similar people returned by the nine sources are found to be highly different
from each other as well as from the list of people the user is familiar with,
suggesting that aggregation of sources may be valuable. Evaluation of the
sources and their aggregates points at their usefulness across different
scenarios, such as information discovery and expertise location, and also
highlights sources and aggregates that are particularly valuable for inferring
user similarity.
Increasing engagement through early recommender intervention
Applications
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Freyne, Jill
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Jacovi, Michal
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Guy, Ido
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Geyer, Werner
Proceedings of the 2009 ACM Conference on Recommender Systems
2009-10-23
p.85-92
© Copyright 2009 ACM
Summary: Social network sites rely on the contributions of their members to create a
lively and enjoyable space. Recent research has focused on using
personalization and recommender technologies to encourage participation of
existing members. In this work we present an early-intervention approach to
encouraging participation and engagement, which makes recommendations to new
users during their sign-up process. Our recommender system exploits external
social media to produce people and profile entry recommendations for new users.
We present results of a live user study, showing that users who received
recommendations at sign-up created more social connections, contributed more
content, and were on the whole more engaged with the system, contributing more
without prompt and returning more often. We further show that recommendations
for multiple content types yield significantly better results, in terms of user
contribution and consumption; and that recommendations of more active users
yield a higher return rate.
Collaborative feed reading in a community
Collaborative management
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Aizenbud-Reshef, Netta
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Guy, Ido
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Jacovi, Michal
GROUP'09: International Conference on Supporting Group Work
2009-05-10
p.277-280
Keywords: collaboration, feed aggregator, feed reader, rss reader, social media,
social software
© Copyright 2009 ACM
Summary: Feed readers have emerged as one of the salient applications that
characterize Web 2.0. Lately, some of the available readers introduced social
features, analogously to other Web 2.0 applications, such as recommendations
and tagging. Yet, most of the readers lack collaborative features, such as the
ability to share feeds in a community or divide the reading task among
community members. In this paper we describe CoffeeReader, a web-based feed
reader, which combines social and collaborative features, and is deployed in a
small community within our company. CoffeeReader provides awareness of other
users' feed lists and read status; it enables information sharing such as tags
and recommendations; and aims to support coordination of filtering through
feeds to locate important items. We compare these group collaboration features
of CoffeeReader with emerging features in publicly available feed readers;
present the outcomes of using CoffeeReader within our community; and discuss
our findings and their implications on making feed readers more collaborative.
Public vs. private: comparing public social network information with email
Naughty social networking
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Guy, Ido
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Jacovi, Michal
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Meshulam, Noga
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Ronen, Inbal
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Shahar, Elad
Proceedings of ACM CSCW'08 Conference on Computer-Supported Cooperative Work
2008-11-08
p.393-402
© Copyright 2008 ACM
Summary: The goal of this research is to facilitate the design of systems which will
mine and use sociocentric social networks without infringing privacy. We
describe an extensive experiment we conducted within our organization comparing
social network information gathered from various intranet public sources with
social network information gathered from a private source -- the organizational
email system. We also report the conclusions of a series of interviews we
conducted based on our experiment. The results shed light on the richness of
public social network information, its characteristics, and added value over
email network information.
Harvesting with SONAR: the value of aggregating social network information
Online Social Networks
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Guy, Ido
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Jacovi, Michal
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Shahar, Elad
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Meshulam, Noga
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Soroka, Vladimir
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Farrell, Stephen
Proceedings of ACM CHI 2008 Conference on Human Factors in Computing Systems
2008-04-05
v.1
p.1017-1026
© Copyright 2008 ACM
Summary: Web 2.0 gives people a substantial role in content and metadata creation.
New interpersonal connections are formed and existing connections become
evident through Web 2.0 services. This newly created social network (SN) spans
across multiple services and aggregating it could bring great value. In this
work we present SONAR, an API for gathering and sharing SN information. We give
a detailed description of SONAR, demonstrate its potential value through user
scenarios, and show results from experiments we conducted with a SONAR-based
social networking application. These suggest that aggregating SN information
across diverse data sources enriches the SN picture and makes it more complete
and useful for the end user.
Pensieve: augmenting human memory
Works in progress
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Aizenbud-Reshef, Neta
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Belinsky, Eran
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Jacovi, Michal
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Laufer, David
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Soroka, Vladimir
Proceedings of ACM CHI 2008 Conference on Human Factors in Computing Systems
2008-04-05
v.2
p.3231-3236
© Copyright 2008 ACM
Summary: Human memory is fallible. We remember certain things, while we completely
forget others. Some of the events we experience end up stored in our episodic
memory, others disappear completely. Even those stored, very often remain
inaccessible, since we do not have reliable mechanisms to retrieve them when
required. In this paper we describe Pensieve, a system for augmenting episodic
memory, that facilitates capturing of events and retrieving them later, using
various relevant cues and associative browsing.
The chasms of CSCW: a citation graph analysis of the CSCW conference
Reflecting on CSCW
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Jacovi, Michal
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Soroka, Vladimir
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Gilboa-Freedman, Gail
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Ur, Sigalit
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Shahar, Elad
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Marmasse, Natalia
Proceedings of ACM CSCW'06 Conference on Computer-Supported Cooperative Work
2006-11-04
p.289-298
© Copyright 2006 ACM
Summary: The CSCW conference is celebrating its 20th birthday. This is a perfect time
to analyze the coherence of the field, to examine whether it has a solid core
or sub-communities, and to identify various patterns of its development. In
this paper we analyze the structure of the CSCW conference using structural
analysis of the citation graph of CSCW and related publications. We identify
the conference's core and most prominent clusters. We also define a measure to
identify chasm-papers, namely papers cited significantly more outside the
conference than within, and analyze such papers.
The diffusion of reachOut: analysis and framework for the successful
diffusion of collaboration technologies
Organizational issues
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Soroka, Vladimir
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Jacovi, Michal
Proceedings of ACM CSCW'04 Conference on Computer-Supported Cooperative Work
2004-11-06
p.314-323
© Copyright 2004 ACM
Summary: While virtual communities become more and more dominant, little attention
has been directed towards understanding the conditions for creating a
successful community. Significant progress has been made in understanding the
diffusion of collaborative tools in the workplace. We read stories about the
extraordinary success of some communities, and about the harsh failure of
others. This paper argues that lessons learnt from these stories should be
analyzed using the theoretical foundations of Diffusion of Innovations
theories, and systematized to create a set of guidelines for community creators
to make their efforts more efficient. We begin by presenting a theoretical
background for analyzing technology diffusion. We then analyze the stories of
diffusion of ReachOut - a tool for peer support and community building
developed in our Research Lab - in two different communities, using this
theory. Finally, we propose a framework for planning for successful diffusion
of collaborative tools, using our experiences with ReachOut.
Why do we ReachOut?: functions of a semi-persistent peer support tool
Chat II
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Jacovi, Michal
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Soroka, Vladimir
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Ur, Sigalit
GROUP'03: International Conference on Supporting Group Work
2003-11-09
p.161-169
© Copyright 2003 ACM
Summary: Collaboration plays a vital role in today's new business environment.
Knowledge that resides within people's heads has become an invaluable resource.
Many formal tools, such as e-mail or teamrooms, have been introduced to support
formal collaboration and have been studied extensively. However, support for
informal communication is still in its infancy. Much work has been done to
analyze the functions that informal communication plays in the workplace.
Recently, several studies have evaluated the roles that instant messaging (IM)
plays in similar settings. Research shows that in the workplace, IM is used
primarily for work-related purposes and accelerates the completion of important
business tasks. Clearly, new tools that combine both formal and informal
interaction can bring organizations tremendous rewards. ReachOut is a tool for
semi-persistent collaboration and peer support developed by the Collaboration
Technologies Group at the IBM Haifa Research Lab. This paper studies the role
ReachOut plays in the workplace. We analyzed the collaboration activity of the
community of IBM Haifa Labs employees who used ReachOut for a period of two
months. As a result, we summarize the important functions played by tools that
bridge between formal and informal communication in a workplace-based
community.
We Can See You: A Study of Communities' Invisible People through ReachOut
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Soroka, V.
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Jacovi, M.
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Ur, S.
Proceedings of the 2003 International Conference on Communities and
Technologies
2003
p.65-79
© Copyright 2003 Springer
Summary: Virtual communities are a great tool, both at home and in the workplace.
They help in finding new friends and solving complicated problems by creating a
virtual family or a giant group-mind. However, building a virtual community is
not a trivial task. Many problems need to be addressed for a new community to
be successful. While many of these problems are features of the medium,
participants themselves are still the major part of the equation. Understanding
the behavioral patterns of virtual community members is crucial for attracting
participants and facilitating active participation. In this paper, we describe
our findings from analyzing more than a year of activities of a workplace
community. Our community used ReachOut, a tool developed in our group to
support semi-persistent collaboration and community building. Throughout the
year, all users' activities were logged, providing us with very detailed
information. Not only do we know of people's postings to the community, but we
can also track lurking behavior that is usually hidden. This allows us to check
several hypotheses about non-active participants' behavior and propose some
directions to increase active participation in virtual communities.
"Ask before you search": peer support and community building with ReachOut
Social navigation
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Ribak, Amnon
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Jacovi, Michal
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Soroka, Vladimir
Proceedings of ACM CSCW'02 Conference on Computer-Supported Cooperative Work
2002-11-16
p.126-135
© Copyright 2002 ACM
Summary: This paper presents ReachOut, a chat-based tool for peer support,
collaboration, and community building. We describe the philosophy behind the
tool and explain how posting questions in the open directly benefits the
creation, distribution, and use of organizational knowledge, in addition to
enhancing the cohesion of the community involved. ReachOut proposes new methods
of handling problems that include locating, selecting, and approaching the
right set of potential advisers. We discuss the advantages of public
discussions over private, one-on-one sessions, and how this is enhanced by our
unique combination of synchronous and asynchronous communication. We present
and analyze results from a pilot of ReachOut and conclude with plans for future
research and development.
Livemaps for collection awareness
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Cohen, Doron
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Jacovi, Michal
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Maarek, Yoelle S.
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Soroka, Vladimir
International Journal of Human-Computer Studies
2002
v.56
n.1
p.7-23
© Copyright 2002 Elsevier Science Publishers
Summary: With the increasing proliferation of chat applications on the web, the old
vision of "adding people" to the web is becoming a reality. Along with
collaboration tools, more and more sites offer people awareness mechanisms to
let the site visitors know about each other. This reflects the dual nature of
the web as a place for virtual meetings as well as an information repository.
While standalone chat tools became the killer application of the Internet,
site-related awareness applications did not quite catch on. In this work, we
suggest possible reasons for this phenomenon and propose a new paradigm for
awareness and social navigation. We identify three main obstacles to the
existing site-related awareness applications: high sensitivity to the "critical
mass" requirement, inflexible meeting place granularity and poor visitor
visibility. To address these issues, we extend the well-known "document
awareness" concept to a more general one that we call "collection awareness",
which better reflects the graph structure of the web. We introduce a new tool
for high-level awareness and collaboration, called Livemaps, which projects
live information onto a web site map. We demonstrate how Livemaps addresses the
obstacles we pointed out and describe a user study conducted on a "fan" web
site for the "Friends" comedy series, so as to verify whether Livemaps actually
improves social awareness.
