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- short-paperOpen Access
Published By ACM
Published By ACM
TwiXplorer: An Interactive Tool for Narrative Detection and Analysis in Historic Twitter Data
Youssef Al Hariri
School of Informatics, University of Edinburgh, Edinburgh, Scotland Uk
,Sandrine Chausson
School of Informatics, University of Edinburgh, Edinburgh, Scotland Uk
,Björn Ross
School of Informatics, University of Edinburgh, Edinburgh, Scotland Uk
,Walid Magdy
School of Informatics, University of Edinburgh, Edinburgh, Scotland Uk
CSCW Companion '24: Companion Publication of the 2024 Conference on Computer-Supported Cooperative Work and Social Computing•November 2024, pp 83-86• https://doi.org/10.1145/3678884.3681815We present TwiXplorer, an interactive tool to explore and understand static Twitter (X) datasets. While obtaining new data from X has become more challenging for academics, there are still rich datasets available that have largely been untapped, for ...
- 0Citation
- 144
- Downloads
MetricsTotal Citations0Total Downloads144Last 12 Months144Last 6 weeks51- 1
Supplementary Materialdemo1034.mp4
- research-articleOpen Access
Published By ACM
Published By ACM
"Pinocchio had a Nose, You have a Network!": On Characterizing Fake News Spreaders on Arabic Social Media
Mahmoud Fawzi
School of Informatics, The University of Edinburgh, Edinburgh, United Kingdom
,Walid Magdy
School of Informatics, The University of Edinburgh, Edinburgh, United Kingdom
Proceedings of the ACM on Human-Computer Interaction, Volume 8, Issue CSCW1•April 2024, Article No.: 211, pp 1-20 • https://doi.org/10.1145/3653702The detection and analysis of fake news and its origins has become a main task associated with the overall objective of social media regulation in recent years. The majority of work has been dedicated towards detecting misinformation with some focus on ...
- 0Citation
- 458
- Downloads
MetricsTotal Citations0Total Downloads458Last 12 Months458Last 6 weeks56
- research-articleOpen Access
Published By ACM
Published By ACM
Emoji are Effective Predictors of User’s Demographics
Youcef Benkhedda
Department of computer science, University of Manchester, Manchester, United Kingdom
,Peng Xiao
China CITIC Bank International, Beijing, China
,Walid Magdy
school of informatics, university of Edinburgh, Ediburgh, United Kingdom
ASONAM '23: Proceedings of the 2023 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining•November 2023, pp 784-792• https://doi.org/10.1145/3625007.3629129Social media platforms like Twitter provide rich data that can offer insights into various aspects of users' behavior. In this study, we explore the potential of emoji usage as a means for demographic prediction. Leveraging a Twitter dataset of 18,689 ...
- 0Citation
- 250
- Downloads
MetricsTotal Citations0Total Downloads250Last 12 Months250Last 6 weeks31
- research-article
Published By ACM
Published By ACM
Twitter has a Binary Privacy Setting, are Users Aware of How It Works?
Dilara Keküllüoglu
University of Edinburgh, Edinburgh, United Kingdom
,Kami Vaniea
University of Edinburgh, Edinburgh, United Kingdom
,Maria K. Wolters
University of Edinburgh, Edinburgh, United Kingdom
,Walid Magdy
University of Edinburgh, Edinburgh, United Kingdom
Proceedings of the ACM on Human-Computer Interaction, Volume 7, Issue CSCW1•April 2023, Article No.: 104, pp 1-18 • https://doi.org/10.1145/3579537Twitter accounts are public by default, but Twitter gives the option to create protected accounts, where only approved followers can see their tweets. The publicly visible information changes based on the account type and the visibility of tweets also ...
- 1Citation
- 145
- Downloads
MetricsTotal Citations1Total Downloads145Last 12 Months52Last 6 weeks2
- Article
Don’t Take It Personally: Analyzing Gender and Age Differences in Ratings of Online Humor
J. A. Meaney
School of Informatics, University of Edinburgh, Edinburgh, UK
,Steven R. Wilson
School of Informatics, University of Edinburgh, Edinburgh, UK
Oakland University, Rochester, MI, USA
,Luis Chiruzzo
Universidad de la República, Montevideo, Uruguay
,Walid Magdy
School of Informatics, University of Edinburgh, Edinburgh, UK
Social Informatics•October 2022, pp 20-33• https://doi.org/10.1007/978-3-031-19097-1_2AbstractComputational humor detection systems rarely model the subjectivity of humor responses, or consider alternative reactions to humor - namely offense. We analyzed a large dataset of humor and offense ratings by male and female annotators of ...
- 0Citation
MetricsTotal Citations0
- research-article
Published By ACM
Published By ACM
LIWC-UD: Classifying Online Slang Terms into LIWC Categories
Mohamed Bahgat
University Of Edinburgh, United Kingdom
,Steve Wilson
Oakland University, USA
,Walid Magdy
University of Edinburgh, United Kingdom
WebSci '22: Proceedings of the 14th ACM Web Science Conference 2022•June 2022, pp 422-432• https://doi.org/10.1145/3501247.3531572Linguistic Inquiry and Word Count (LIWC), a popular tool for automated text analysis, relies on an expert-crafted internal dictionary of psychologically relevant words and their corresponding categories. While LIWC’s dictionary covers a significant ...
- 1Citation
- 371
- Downloads
MetricsTotal Citations1Total Downloads371Last 12 Months98Last 6 weeks14- 1
Supplementary MaterialWS22_S7_100.mp4
- research-article
Published By ACM
Published By ACM
Understanding Privacy Switching Behaviour on Twitter
Dilara Kekulluoglu
School of Informatics, University of Edinburgh, United Kingdom
,Kami Vaniea
School of Informatics, University of Edinburgh, United Kingdom
,Walid Magdy
School of Informatics, University of Edinburgh, United Kingdom
CHI '22: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems•April 2022, Article No.: 31, pp 1-14• https://doi.org/10.1145/3491102.3517675Changing a Twitter account’s privacy setting between public and protected changes the visibility of past tweets. By inspecting the privacy setting of more than 100K Twitter users over 3 months, we noticed that over 40% of those users changed their ...
- 4Citation
- 749
- Downloads
MetricsTotal Citations4Total Downloads749Last 12 Months96Last 6 weeks5
- editorial
Robert Elliott Smith: Rage Inside the Machine—the prejudice of algorithms, and how to stop the internet making bigots of us all: Bloomsbury business, 2019, 344 pp., ISBN 9781472963888
Walid Magdy
The University of Edinburgh, Edinburgh, UK
The Allan Turing Institute, London, UK
Genetic Programming and Evolvable Machines, Volume 23, Issue 1•Mar 2022, pp 157-158 • https://doi.org/10.1007/s10710-021-09420-w- 0Citation
MetricsTotal Citations0
- research-article
Published By ACM
Published By ACM
Atheists versus Theists: Religious Polarisation in Arab Online Communities
Youssef Al Hariri
University of Edinburgh, Edinburgh, United Kingdom
,Walid Magdy
University of Edinburgh, Edinburgh, United Kingdom
,Maria K. Wolters
University of Edinburgh, Edinburgh, United Kingdom
Proceedings of the ACM on Human-Computer Interaction, Volume 5, Issue CSCW2•October 2021, Article No.: 361, pp 1-28 • https://doi.org/10.1145/3479505In this study, we investigate the extent of polarisation among theist versus atheist groups on Arab Twitter and their networks. We find four main self-identified groups of Arab users that can be distinguished by different attitudes to religion. In ...
- 3Citation
- 355
- Downloads
MetricsTotal Citations3Total Downloads355Last 12 Months56Last 6 weeks6
- research-articleOpen Access
Published By ACM
Published By ACM
Black or White but Never Neutral: How Readers Perceive Identity from Yellow or Skin-toned Emoji
Alexander Robertson
University of Edinburgh, Edinburgh, United Kingdom
,Walid Magdy
University of Edinburgh, Edinburgh, United Kingdom
,Sharon Goldwater
University of Edinburgh, Edinburgh, United Kingdom
Proceedings of the ACM on Human-Computer Interaction, Volume 5, Issue CSCW2•October 2021, Article No.: 350, pp 1-23 • https://doi.org/10.1145/3476091Research in sociology and linguistics shows that people use language not only to express their own identity but to understand the identity of others. Recent work established a connection between expression of identity and emoji usage on social media, ...
- 8Citation
- 759
- Downloads
MetricsTotal Citations8Total Downloads759Last 12 Months286Last 6 weeks38
- research-article
Stance detection on social media: State of the art and trends
Abeer ALDayel
School of Informatics. The University of Edinburgh, Edinburgh, UK
,Walid Magdy
School of Informatics. The University of Edinburgh, Edinburgh, UK
Information Processing and Management: an International Journal, Volume 58, Issue 4•Jul 2021 • https://doi.org/10.1016/j.ipm.2021.102597AbstractStance detection on social media is an emerging opinion mining paradigm for various social and political applications in which sentiment analysis may be sub-optimal. There has been a growing research interest for developing effective ...
Highlights- We map out the current research terrain on stance detection and synthesize its relation to the existing theoretical orientations.
- 42Citation
MetricsTotal Citations42
- research-article
Published By ACM
Published By ACM
Holy Tweets: Exploring the Sharing of the Quran on Twitter
Norah Abokhodair
Microsoft, Redmond, WA, USA
,AbdelRahim Elmadany
University of British Columbia, Vancouver, BC, Canada
,Walid Magdy
The University of Edinburgh, Edinburgh, United Kingdom
Proceedings of the ACM on Human-Computer Interaction, Volume 4, Issue CSCW2•October 2020, Article No.: 159, pp 1-32 • https://doi.org/10.1145/3415230While social media offer users a platform for self-expression, identity exploration, and community management, among other functions, they also offer space for religious practice and expression. In this paper, we explore social media spaces as they ...
- 12Citation
- 286
- Downloads
MetricsTotal Citations12Total Downloads286Last 12 Months37Last 6 weeks6
- Article
It’s Not Just About Sad Songs: The Effect of Depression on Posting Lyrics and Quotes
Lucia Lushi Chen
School of Informatics, University of Edinburgh, Edinburgh, UK
,Walid Magdy
School of Informatics, University of Edinburgh, Edinburgh, UK
,Heather Whalley
Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
,Maria Wolters
School of Informatics, University of Edinburgh, Edinburgh, UK
Social Informatics•October 2020, pp 58-66• https://doi.org/10.1007/978-3-030-60975-7_5AbstractWhen studying how mental illness may be reflected in people’s social media use, content not written by the users is often ignored, because it might not reflect their own emotions. In this paper, we examine whether the mood of quotes posted on ...
- 0Citation
MetricsTotal Citations0
- research-article
Published By ACM
Published By ACM
Analysing Privacy Leakage of Life Events on Twitter
Dilara Keküllüoglu
University of Edinburgh
,Walid Magdy
University of Edinburgh, United Kingdom
,Kami Vaniea
University of Edinburgh, United Kingdom
WebSci '20: Proceedings of the 12th ACM Conference on Web Science•July 2020, pp 287-294• https://doi.org/10.1145/3394231.3397919People share a wide variety of information on Twitter, including the events in their lives, without understanding the size of their audience. While some of these events can be considered harmless such as getting a new pet, some of them can be sensitive ...
- 11Citation
- 311
- Downloads
MetricsTotal Citations11Total Downloads311Last 12 Months37- 1
Supplementary Material3394231.3397919.mp4
- research-article
Published By ACM
Published By ACM
Examining the Role of Mood Patterns in Predicting Self-Reported Depressive symptoms
Lushi Chen
The University of Edinburgh, United Kingdom
,Walid Magdy
The University of Edinburgh, United Kingdom
,Heather Whalley
The University of Edinburgh, United Kingdom
,Maria Klara Wolters
The University of Edinburgh, United Kingdom
WebSci '20: Proceedings of the 12th ACM Conference on Web Science•July 2020, pp 164-173• https://doi.org/10.1145/3394231.3397906Researchers have explored automatic screening models as a quick way to identify potential risks of developing depressive symptoms. Most existing models include a person’s mood as reflected on social media at a single point in time as one of the ...
- 5Citation
- 232
- Downloads
MetricsTotal Citations5Total Downloads232Last 12 Months31Last 6 weeks2- 1
Supplementary Material3394231.3397906.mp4
- research-article
Published By ACM
Published By ACM
Analyzing Temporal Relationships between Trending Terms on Twitter and Urban Dictionary Activity
Steven R. Wilson
University of Edinburgh, United Kingdom
,Walid Magdy
University of Edinburgh, United Kingdom
,Barbara McGillivray
The Alan Turing Institute, United Kingdom
,Gareth Tyson
Queen Mary University of London, United Kingdom
WebSci '20: Proceedings of the 12th ACM Conference on Web Science•July 2020, pp 155-163• https://doi.org/10.1145/3394231.3397905As an online, crowd-sourced, open English-language slang dictionary, the Urban Dictionary platform contains a wealth of opinions, jokes, and definitions of terms, phrases, acronyms, and more. However, it is unclear exactly how activity on this platform ...
- 3Citation
- 219
- Downloads
MetricsTotal Citations3Total Downloads219Last 12 Months25Last 6 weeks3- 1
Supplementary Material3394231.3397905.mp4
- research-article
Published By ACM
Published By ACM
The Effect of Sociocultural Variables on Sarcasm Communication Online
Silviu Vlad Oprea
University of Edinburgh, Edinburgh, United Kingdom
,Walid Magdy
University of Edinburgh, Edinburgh, United Kingdom
Proceedings of the ACM on Human-Computer Interaction, Volume 4, Issue CSCW1•May 2020, Article No.: 29, pp 1-22 • https://doi.org/10.1145/3392834Online social networks (OSN) play an essential role for connecting people and allowing them to communicate online. OSN users share their thoughts, moments, and news with their network. The messages they share online can include sarcastic posts, where the ...
- 5Citation
- 437
- Downloads
MetricsTotal Citations5Total Downloads437Last 12 Months84Last 6 weeks6
- research-article
Published By ACM
Published By ACM
Emoji Skin Tone Modifiers: Analyzing Variation in Usage on Social Media
Alexander Robertson
University of Edinburgh, Edinburgh, Scotland
,Walid Magdy
University of Edinburgh, Edinburgh, Scotland
,Sharon Goldwater
University of Edinburgh, Edinburgh, Scotland
ACM Transactions on Social Computing, Volume 3, Issue 2•June 2020, Article No.: 11, pp 1-25 • https://doi.org/10.1145/3377479Emoji are widely used in computer-mediated communication to express concepts and emotions. Skin tone modifiers were added in 2015 with the hope of better representing user diversity, and, indeed, recent work has shown that these modifiers are especially ...
- 12Citation
- 2,200
- Downloads
MetricsTotal Citations12Total Downloads2,200Last 12 Months108Last 6 weeks4
- research-article
Classstrength v2: an adaptive multilingual tool for tweet classification
Diana Cremarenco
University of Edinburgh, UK
,Walid Magdy
University of Edinburgh, UK
ASONAM '18: Proceedings of the 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining•August 2018, pp 605-608In this paper we present the second version of our multilingual tweet classification tool. ClassStrength v2 classifies tweets into 14 categories (Sports, Music, News&Politics etc.) using a distant supervision approach. The new version extends the ...
- 0Citation
- 19
- Downloads
MetricsTotal Citations0Total Downloads19Last 12 Months1
- research-article
How well did you locate me?: effective evaluation of Twitter user geolocation
Ahmed Mourad
RMIT University, Melbourne, Australia
,Falk Scholer
RMIT University, Melbourne, Australia
,Mark Sanderson
RMIT University, Melbourne, Australia
,Walid Magdy
The University of Edinburgh, Edinburgh, UK
ASONAM '18: Proceedings of the 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining•August 2018, pp 437-440We analyze fifteen Twitter user geolocation models and two baselines comparing how they are evaluated. Our results demonstrate that the choice of effectiveness metric can have a substantial impact on the conclusions drawn from an experiment. We show ...
- 0Citation
- 25
- Downloads
MetricsTotal Citations0Total Downloads25Last 12 Months4
Author Profile Pages
- Description: The Author Profile Page initially collects all the professional information known about authors from the publications record as known by the ACM bibliographic database, the Guide. Coverage of ACM publications is comprehensive from the 1950's. Coverage of other publishers generally starts in the mid 1980's. The Author Profile Page supplies a quick snapshot of an author's contribution to the field and some rudimentary measures of influence upon it. Over time, the contents of the Author Profile page may expand at the direction of the community.
Please see the following 2007 Turing Award winners' profiles as examples: - History: Disambiguation of author names is of course required for precise identification of all the works, and only those works, by a unique individual. Of equal importance to ACM, author name normalization is also one critical prerequisite to building accurate citation and download statistics. For the past several years, ACM has worked to normalize author names, expand reference capture, and gather detailed usage statistics, all intended to provide the community with a robust set of publication metrics. The Author Profile Pages reveal the first result of these efforts.
- Normalization: ACM uses normalization algorithms to weigh several types of evidence for merging and splitting names.
These include:- co-authors: if we have two names and cannot disambiguate them based on name alone, then we see if they have a co-author in common. If so, this weighs towards the two names being the same person.
- affiliations: names in common with same affiliation weighs toward the two names being the same person.
- publication title: names in common whose works are published in same journal weighs toward the two names being the same person.
- keywords: names in common whose works address the same subject matter as determined from title and keywords, weigh toward being the same person.
The more conservative the merging algorithms, the more bits of evidence are required before a merge is made, resulting in greater precision but lower recall of works for a given Author Profile. Many bibliographic records have only author initials. Many names lack affiliations. With very common family names, typical in Asia, more liberal algorithms result in mistaken merges.
Automatic normalization of author names is not exact. Hence it is clear that manual intervention based on human knowledge is required to perfect algorithmic results. ACM is meeting this challenge, continuing to work to improve the automated merges by tweaking the weighting of the evidence in light of experience.
- Bibliometrics: In 1926, Alfred Lotka formulated his power law (known as Lotka's Law) describing the frequency of publication by authors in a given field. According to this bibliometric law of scientific productivity, only a very small percentage (~6%) of authors in a field will produce more than 10 articles while the majority (perhaps 60%) will have but a single article published. With ACM's first cut at author name normalization in place, the distribution of our authors with 1, 2, 3..n publications does not match Lotka's Law precisely, but neither is the distribution curve far off. For a definition of ACM's first set of publication statistics, see Bibliometrics
- Future Direction:
The initial release of the Author Edit Screen is open to anyone in the community with an ACM account, but it is limited to personal information. An author's photograph, a Home Page URL, and an email may be added, deleted or edited. Changes are reviewed before they are made available on the live site.
ACM will expand this edit facility to accommodate more types of data and facilitate ease of community participation with appropriate safeguards. In particular, authors or members of the community will be able to indicate works in their profile that do not belong there and merge others that do belong but are currently missing.
A direct search interface for Author Profiles will be built.
An institutional view of works emerging from their faculty and researchers will be provided along with a relevant set of metrics.
It is possible, too, that the Author Profile page may evolve to allow interested authors to upload unpublished professional materials to an area available for search and free educational use, but distinct from the ACM Digital Library proper. It is hard to predict what shape such an area for user-generated content may take, but it carries interesting potential for input from the community.
Bibliometrics
The ACM DL is a comprehensive repository of publications from the entire field of computing.
It is ACM's intention to make the derivation of any publication statistics it generates clear to the user.
- Average citations per article = The total Citation Count divided by the total Publication Count.
- Citation Count = cumulative total number of times all authored works by this author were cited by other works within ACM's bibliographic database. Almost all reference lists in articles published by ACM have been captured. References lists from other publishers are less well-represented in the database. Unresolved references are not included in the Citation Count. The Citation Count is citations TO any type of work, but the references counted are only FROM journal and proceedings articles. Reference lists from books, dissertations, and technical reports have not generally been captured in the database. (Citation Counts for individual works are displayed with the individual record listed on the Author Page.)
- Publication Count = all works of any genre within the universe of ACM's bibliographic database of computing literature of which this person was an author. Works where the person has role as editor, advisor, chair, etc. are listed on the page but are not part of the Publication Count.
- Publication Years = the span from the earliest year of publication on a work by this author to the most recent year of publication of a work by this author captured within the ACM bibliographic database of computing literature (The ACM Guide to Computing Literature, also known as "the Guide".
- Available for download = the total number of works by this author whose full texts may be downloaded from an ACM full-text article server. Downloads from external full-text sources linked to from within the ACM bibliographic space are not counted as 'available for download'.
- Average downloads per article = The total number of cumulative downloads divided by the number of articles (including multimedia objects) available for download from ACM's servers.
- Downloads (cumulative) = The cumulative number of times all works by this author have been downloaded from an ACM full-text article server since the downloads were first counted in May 2003. The counts displayed are updated monthly and are therefore 0-31 days behind the current date. Robotic activity is scrubbed from the download statistics.
- Downloads (12 months) = The cumulative number of times all works by this author have been downloaded from an ACM full-text article server over the last 12-month period for which statistics are available. The counts displayed are usually 1-2 weeks behind the current date. (12-month download counts for individual works are displayed with the individual record.)
- Downloads (6 weeks) = The cumulative number of times all works by this author have been downloaded from an ACM full-text article server over the last 6-week period for which statistics are available. The counts displayed are usually 1-2 weeks behind the current date. (6-week download counts for individual works are displayed with the individual record.)
ACM Author-Izer Service
Summary Description
ACM Author-Izer is a unique service that enables ACM authors to generate and post links on both their homepage and institutional repository for visitors to download the definitive version of their articles from the ACM Digital Library at no charge.
Downloads from these sites are captured in official ACM statistics, improving the accuracy of usage and impact measurements. Consistently linking to definitive version of ACM articles should reduce user confusion over article versioning.
ACM Author-Izer also extends ACM’s reputation as an innovative “Green Path” publisher, making ACM one of the first publishers of scholarly works to offer this model to its authors.
To access ACM Author-Izer, authors need to establish a free ACM web account. Should authors change institutions or sites, they can utilize the new ACM service to disable old links and re-authorize new links for free downloads from a different site.
How ACM Author-Izer Works
Authors may post ACM Author-Izer links in their own bibliographies maintained on their website and their own institution’s repository. The links take visitors to your page directly to the definitive version of individual articles inside the ACM Digital Library to download these articles for free.
The Service can be applied to all the articles you have ever published with ACM.
Depending on your previous activities within the ACM DL, you may need to take up to three steps to use ACM Author-Izer.
For authors who do not have a free ACM Web Account:
- Go to the ACM DL http://dl.acm.org/ and click SIGN UP. Once your account is established, proceed to next step.
For authors who have an ACM web account, but have not edited their ACM Author Profile page:
- Sign in to your ACM web account and go to your Author Profile page. Click "Add personal information" and add photograph, homepage address, etc. Click ADD AUTHOR INFORMATION to submit change. Once you receive email notification that your changes were accepted, you may utilize ACM Author-izer.
For authors who have an account and have already edited their Profile Page:
- Sign in to your ACM web account, go to your Author Profile page in the Digital Library, look for the ACM Author-izer link below each ACM published article, and begin the authorization process. If you have published many ACM articles, you may find a batch Authorization process useful. It is labeled: "Export as: ACM Author-Izer Service"
ACM Author-Izer also provides code snippets for authors to display download and citation statistics for each “authorized” article on their personal pages. Downloads from these pages are captured in official ACM statistics, improving the accuracy of usage and impact measurements. Consistently linking to the definitive version of ACM articles should reduce user confusion over article versioning.
Note: You still retain the right to post your author-prepared preprint versions on your home pages and in your institutional repositories with DOI pointers to the definitive version permanently maintained in the ACM Digital Library. But any download of your preprint versions will not be counted in ACM usage statistics. If you use these AUTHOR-IZER links instead, usage by visitors to your page will be recorded in the ACM Digital Library and displayed on your page.
FAQ
- Q. What is ACM Author-Izer?
A. ACM Author-Izer is a unique, link-based, self-archiving service that enables ACM authors to generate and post links on either their home page or institutional repository for visitors to download the definitive version of their articles for free.
- Q. What articles are eligible for ACM Author-Izer?
- A. ACM Author-Izer can be applied to all the articles authors have ever published with ACM. It is also available to authors who will have articles published in ACM publications in the future.
- Q. Are there any restrictions on authors to use this service?
- A. No. An author does not need to subscribe to the ACM Digital Library nor even be a member of ACM.
- Q. What are the requirements to use this service?
- A. To access ACM Author-Izer, authors need to have a free ACM web account, must have an ACM Author Profile page in the Digital Library, and must take ownership of their Author Profile page.
- Q. What is an ACM Author Profile Page?
- A. The Author Profile Page initially collects all the professional information known about authors from the publications record as known by the ACM Digital Library. The Author Profile Page supplies a quick snapshot of an author's contribution to the field and some rudimentary measures of influence upon it. Over time, the contents of the Author Profile page may expand at the direction of the community. Please visit the ACM Author Profile documentation page for more background information on these pages.
- Q. How do I find my Author Profile page and take ownership?
- A. You will need to take the following steps:
- Create a free ACM Web Account
- Sign-In to the ACM Digital Library
- Find your Author Profile Page by searching the ACM Digital Library for your name
- Find the result you authored (where your author name is a clickable link)
- Click on your name to go to the Author Profile Page
- Click the "Add Personal Information" link on the Author Profile Page
- Wait for ACM review and approval; generally less than 24 hours
- Q. Why does my photo not appear?
- A. Make sure that the image you submit is in .jpg or .gif format and that the file name does not contain special characters
- Q. What if I cannot find the Add Personal Information function on my author page?
- A. The ACM account linked to your profile page is different than the one you are logged into. Please logout and login to the account associated with your Author Profile Page.
- Q. What happens if an author changes the location of his bibliography or moves to a new institution?
- A. Should authors change institutions or sites, they can utilize ACM Author-Izer to disable old links and re-authorize new links for free downloads from a new location.
- Q. What happens if an author provides a URL that redirects to the author’s personal bibliography page?
- A. The service will not provide a free download from the ACM Digital Library. Instead the person who uses that link will simply go to the Citation Page for that article in the ACM Digital Library where the article may be accessed under the usual subscription rules.
However, if the author provides the target page URL, any link that redirects to that target page will enable a free download from the Service.
- Q. What happens if the author’s bibliography lives on a page with several aliases?
- A. Only one alias will work, whichever one is registered as the page containing the author’s bibliography. ACM has no technical solution to this problem at this time.
- Q. Why should authors use ACM Author-Izer?
- A. ACM Author-Izer lets visitors to authors’ personal home pages download articles for no charge from the ACM Digital Library. It allows authors to dynamically display real-time download and citation statistics for each “authorized” article on their personal site.
- Q. Does ACM Author-Izer provide benefits for authors?
- A. Downloads of definitive articles via Author-Izer links on the authors’ personal web page are captured in official ACM statistics to more accurately reflect usage and impact measurements.
Authors who do not use ACM Author-Izer links will not have downloads from their local, personal bibliographies counted. They do, however, retain the existing right to post author-prepared preprint versions on their home pages or institutional repositories with DOI pointers to the definitive version permanently maintained in the ACM Digital Library.
- Q. How does ACM Author-Izer benefit the computing community?
- A. ACM Author-Izer expands the visibility and dissemination of the definitive version of ACM articles. It is based on ACM’s strong belief that the computing community should have the widest possible access to the definitive versions of scholarly literature. By linking authors’ personal bibliography with the ACM Digital Library, user confusion over article versioning should be reduced over time.
In making ACM Author-Izer a free service to both authors and visitors to their websites, ACM is emphasizing its continuing commitment to the interests of its authors and to the computing community in ways that are consistent with its existing subscription-based access model.
- Q. Why can’t I find my most recent publication in my ACM Author Profile Page?
- A. There is a time delay between publication and the process which associates that publication with an Author Profile Page. Right now, that process usually takes 4-8 weeks.
- Q. How does ACM Author-Izer expand ACM’s “Green Path” Access Policies?
- A. ACM Author-Izer extends the rights and permissions that authors retain even after copyright transfer to ACM, which has been among the “greenest” publishers. ACM enables its author community to retain a wide range of rights related to copyright and reuse of materials. They include:
- Posting rights that ensure free access to their work outside the ACM Digital Library and print publications
- Rights to reuse any portion of their work in new works that they may create
- Copyright to artistic images in ACM’s graphics-oriented publications that authors may want to exploit in commercial contexts
- All patent rights, which remain with the original owner