Building a Wrapper for Fine-Grained Private Group Messaging on Twitter

نویسندگان

  • Indrajeet Singh
  • Michael Butkiewicz
  • Harsha V. Madhyastha
  • Srikanth V. Krishnamurthy
  • Sateesh Addepalli
چکیده

User privacy has been an increasingly growing concern in online social networks (OSNs). While most OSNs today provide some form of privacy controls so that their users can protect their shared content from other users, these controls are typically not sufficiently expressive and/or do not provide fine-grained protection of information. In this paper, we consider the introduction of a new privacy control—group messaging on Twitter, with users having fine-grained control over who can see their messages. Specifically, we demonstrate that such a privacy control can be offered to users of Twitter today without having to wait for Twitter to make changes to its system. We do so by designing and implementing Twitsper, a wrapper around Twitter that enables private group communication among existing Twitter users while preserving Twitter’s commercial interests. Our evaluation shows that our implementation of Twitsper imposes minimal server-side bandwidth requirements and incurs low client-side energy consumption. Our Twitsper client for Android-based devices has been downloaded by over 1000 users and its utility has been noted by several media articles.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Twitsper, Tweeting Privately Over Secure Connections

OSN today gives some type of privacy controls to protect a user’s shared information from other users, these controls are insufficiently expressive to provides fine protection. We introduce Twitsper to support control over who sees a user messages in Twitter. Twitsper gives privacy controls to the users of Twitter without depending on Twitter to make changes. This is because it is a wrapper in ...

متن کامل

Korean Twitter Emotion Classification Using Automatically Built Emotion Lexicons and Fine-Grained Features

In recent years many people have begun to express their thoughts and opinions on Twitter. Naturally, Twitter has become an effective source to investigate people’s emotions for numerous applications. Classifying only positive and negative tweets has been exploited in depth, whereas analyzing finer emotions is still a difficult task. More elaborate emotion lexicons should be developed to deal wi...

متن کامل

A POS Tagger for Code Mixed Indian Social Media Text - ICON-2016 NLP Tools Contest Entry from Surukam

Building Part-of-Speech (POS) taggers for code-mixed Indian languages is a particularly challenging problem in computational linguistics due to a dearth of accurately annotated training corpora. ICON, as part of its NLP tools contest has organized this challenge as a shared task for the second consecutive year to improve the state-of-the-art. This paper describes the POS tagger built at Surukam...

متن کامل

Fine-Grained POS Tagging of German Tweets

This paper presents the first work on POS tagging German Twitter data, showing that despite the noisy and often cryptic nature of the data a fine-grained analysis of POS tags on Twitter microtext is feasible. Our CRF-based tagger achieves an accuracy of around 89% when trained on LDA word clusters, features from an automatically created dictionary and additional out-of-domain training data.

متن کامل

The Effect of Geopolymerization on the Unconfined Compressive Strength of Stabilized Fine-grained Soils

This study focuses on evaluating the unconfined compressive strength (UCS) of improved fine-grained soils. A large database of unconfined compressive strength of clayey soil specimens stabilized with fly ash and blast furnace slag based geopolymer were collected and analyzed. Subsequently, using adaptive neuro fuzzy inference system (ANFIS), a model has been developed to assess the UCS of stabi...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2012