Evolution of Conversations in the Age of Email Overload

Email is a ubiquitous communications tool in the workplace and plays an important role in social interactions. Previous studies of email were largely based on surveys and limited to relatively small populations of email users within organizations. In this paper, we report results of a large-scale study of more than 2 million users exchanging 16 billion emails over several months. We quantitatively characterize the replying behavior in conversations within pairs of users. In particular, we study the time it takes the user to reply to a received message and the length of the reply sent. We consider a variety of factors that affect the reply time and length, such as the stage of the conversation, user demographics, and use of portable devices. In addition, we study how increasing load affects emailing behavior. We find that as users receive more email messages in a day, they reply to a smaller fraction of them, using shorter replies. However, their responsiveness remains intact, and they may even reply to emails faster. Finally, we predict the time to reply, length of reply, and whether the reply ends a conversation. We demonstrate considerable improvement over the baseline in all three prediction tasks, showing the significant role that the factors that we uncover play, in determining replying behavior. We rank these factors based on their predictive power. Our findings have important implications for understanding human behavior and designing better email management applications for tasks like ranking unread emails.

[1]  Kristina Lerman,et al.  How Visibility and Divided Attention Constrain Social Contagion , 2012, 2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing.

[2]  Paul P. Maglio,et al.  Expertise identification using email communications , 2003, CIKM '03.

[3]  Munmun De Choudhury,et al.  What makes conversations interesting?: themes, participants and consequences of conversations in online social media , 2009, WWW '09.

[4]  Robert E. Kraut,et al.  Email overload at work: an analysis of factors associated with email strain , 2006, IEEE Engineering Management Review.

[5]  Srinivasan Parthasarathy,et al.  On Understanding the Divergence of Online Social Group Discussion , 2014, ICWSM.

[6]  Aram Galstyan,et al.  Explaining Away Stylistic Coordination in Dialogues , 2013 .

[7]  Helen J. Wang,et al.  Characterizing Botnets from Email Spam Records , 2008, LEET.

[8]  Terrill L. Frantz,et al.  Communication Networks from the Enron Email Corpus “It's Always About the People. Enron is no Different” , 2005, Comput. Math. Organ. Theory.

[9]  Enrico Blanzieri,et al.  A survey of learning-based techniques of email spam filtering , 2008, Artificial Intelligence Review.

[10]  Quoc V. Le,et al.  Distributed Representations of Sentences and Documents , 2014, ICML.

[11]  Teresa Correa,et al.  Who interacts on the Web?: The intersection of users' personality and social media use , 2010, Comput. Hum. Behav..

[12]  Jon M. Kleinberg,et al.  Echoes of power: language effects and power differences in social interaction , 2011, WWW.

[13]  Rakesh Agrawal,et al.  On participation in group chats on Twitter , 2013, WWW.

[14]  Carman Neustaedter,et al.  Beyond "from" and "received": exploring the dynamics of email triage , 2005, CHI Extended Abstracts.

[15]  Michael Gertz,et al.  Mining email social networks , 2006, MSR '06.

[16]  Adilson E. Motter,et al.  A Poissonian explanation for heavy tails in e-mail communication , 2008, Proceedings of the National Academy of Sciences.

[17]  Susan C. Herring,et al.  Beyond Microblogging: Conversation and Collaboration via Twitter , 2009, 2009 42nd Hawaii International Conference on System Sciences.

[18]  Yiming Yang,et al.  Introducing the Enron Corpus , 2004, CEAS.

[19]  Jon M. Kleinberg,et al.  Characterizing and curating conversation threads: expansion, focus, volume, re-entry , 2013, WSDM.

[20]  Fabio Celli,et al.  The Role of Emotional Stability in Twitter Conversations , 2012, Comput. Intell..

[21]  Stephanie Forrest,et al.  Email networks and the spread of computer viruses. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.

[22]  Yiming Yang,et al.  The Enron Corpus: A New Dataset for Email Classi(cid:12)cation Research , 2004 .

[23]  Jeffrey Dean,et al.  Distributed Representations of Words and Phrases and their Compositionality , 2013, NIPS.

[24]  Krishna P. Gummadi,et al.  Quantifying Information Overload in Social Media and Its Impact on Social Contagions , 2014, ICWSM.

[25]  Yoshua Bengio,et al.  Neural Probabilistic Language Models , 2006 .

[26]  John C. Tang,et al.  When Can I Expect an Email Response? A Study of Rhythms in Email Usage , 2003, ECSCW.

[27]  Timothy W. Finin,et al.  Why We Twitter: An Analysis of a Microblogging Community , 2009, WebKDD/SNA-KDD.

[28]  Ravi Kumar,et al.  Dynamics of conversations , 2010, KDD.

[29]  Alice H. Oh,et al.  Do You Feel What I Feel? Social Aspects of Emotions in Twitter Conversations , 2012, ICWSM.

[30]  Albert-László Barabási,et al.  The origin of bursts and heavy tails in human dynamics , 2005, Nature.

[31]  Jean-Pierre Eckmann,et al.  Entropy of dialogues creates coherent structures in e-mail traffic. , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[32]  Robert E. Kraut,et al.  Understanding email use: predicting action on a message , 2005, CHI.

[33]  Jafar Adibi,et al.  The Enron Email Dataset Database Schema and Brief Statistical Report , 2004 .

[34]  Alessandro Vespignani,et al.  Modeling Users' Activity on Twitter Networks: Validation of Dunbar's Number , 2011, PloS one.

[35]  Yoelle Maarek,et al.  How Many Folders Do You Really Need?: Classifying Email into a Handful of Categories , 2014, CIKM.

[36]  A. J. Bernheim Brush,et al.  Revisiting Whittaker & Sidner's "email overload" ten years later , 2006, CSCW '06.

[37]  Robert E. Kraut,et al.  Talk amongst yourselves: inviting users to participate in online conversations , 2007, IUI '07.

[38]  Markus Jakobsson,et al.  Social phishing , 2007, CACM.

[39]  Danah Boyd,et al.  Tweet, Tweet, Retweet: Conversational Aspects of Retweeting on Twitter , 2010, 2010 43rd Hawaii International Conference on System Sciences.

[40]  Rossano Schifanella,et al.  Reading the source code of social ties , 2014, WebSci '14.

[41]  David K. Perry,et al.  Viral Marketing or Electronic Word-of-Mouth Advertising: Examining Consumer Responses and Motivations to Pass Along Email , 2004, Journal of Advertising Research.

[42]  Timothy W. Finin,et al.  Why we twitter: understanding microblogging usage and communities , 2007, WebKDD/SNA-KDD '07.

[43]  Candace L. Sidner,et al.  Email overload: exploring personal information management of email , 1996, CHI.