• #LokSabhaElections2019,  Elections2019,  Phase 2,  Social Media,  VotingRound2

    #LokSabhaElections2019 Phase 1 vs Phase 2

    Phase 1 Phase 2 Total number of tweets (original, RTs, quotes) 235,833 280,256 Retweets 181,681 228,588 Quotes 8,697 6,296 Original tweet 45,455 45,372 Hashtags 123 91 Unique users who posted the tweets 99,794 84,659 Top 5 languages used in the post (derived the language from the Twitter JSON) English (140,163) Hindi (66,980) Telugu (2,899) Tamil (1,780) Marathi (1,510) English (134,325) Hindi (69,489) Tamil (40,903) Oriya (3,809) Marathi (2,752) Top 5 devices used to do the posts Twitter for Android (155,805) Twitter for iPhone (31,251) Twitter Web Client (22,930) Twitter Web App (16,871) Twitter for iPad (2,623) Twitter for Android (207,830) Twitter Web Client (24,847) Twitter for iPhone (22,312) Twitter Web…

  • #LokSabhaElections2019,  Elections2019,  Phase1,  Social Computing,  VotingRound1

    Phase 1 #LokSabhaElections2019 Social Media Round-up

    Today the first of the seven phases of Lok Sabha Elections 2019 went underway in India; we had 91 constituencies spread across 20 states that went for polling. 14.21 crore Indians are expected to have casted their vote today. We collected Twitter data using 123 hashtags, and collected over 2 lakh tweets from 0300hrs until 1900hrs (stay tuned, we will make these data public soon). The cumulative distribution graph of the Tweets posted over the duration of the data collection with the top 5 hashtags can be seen below. The same graph, but depicting the Tweets posted with the top 5 mentions can be seen below. Further, we share the…

  • #LokSabhaElections2019,  Elections2019,  Research,  Social Computing

    NaMo Vs RaGa: On Twitter, YouTube, Facebook, Instagram, and LinkedIn

    As the nation gears up for the first phase of the parliamentary elections tomorrow, it will be interesting to see in detail the emerging candidates vying for the seat of the Prime Minister seat. Taking forward our empirical analysis of Social Media dialogues around elections, we analyze the two primary candidates, Narendra Modi (NaMo) and Rahul Gandhi (RaGa). In this blog, we have a look at their presence on Twitter, Facebook, YouTube, Instagram, and LinkedIn. Before we get into the analysis of their profiles, we quickly visit the recently released manifestos of each of their parties and share a word cloud of the topics addressed in them. To obtain this…

  • #LokSabhaElections2019,  Elections2019,  Research,  Social Computing

    Who-Follows-Whom?, #ChaupalOnTwitter, Political Satire Videos

    Who-Follows-Whom? Earlier in our ongoing blog series on the forthcoming Indian parliamentary elections we had characterized the following network of verified political handles. Today we share the results of analysing the follower/following patterns of these handles amongst each other. To understand the interactions between the political handles (otherwise parties), we populate a table which shows the ratio of total number of followings of one party to another by the total number of handles of that party. Below is the table with all the counts of followings of each party’s members against another party’s handles, e.g. total number of connections from all AAP accounts following BJP accounts is 912. Next, we…

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  • Elections2019,  Research,  Social Computing

    The #MainBhiChowkidar Campaign: 30% Verified, 36% non-verified Handles added Chowkidar to their Name

    Below is the first occurrence of the #MainBhiChowkidar by @narendramodi The tweet was dated March 15th 0900hrs IST. This hashtag was part of the campaign; we found this hashtag trending in India by 1100hrs. We were interested in studying the different facets of this campaign, in particular, name changes in the user name of the accounts, verified and others. Screen name / handle is restricted to 15 alphanumeric characters (letters A-Z, numbers 0-9) with the exception of underscores and name of the account is restricted to 50 alphanumeric characters, including special characters and emojis. First occurrence of MainBhiChowkidar Of the 1,268 verified handles (we reported 1,252 in our blog post…

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  • Building Systems,  Social Computing,  Students

    MIME: A Social Network for Meme Enthusiasts. A course project turned into 10,000+ Lines of Code.

    Memes have become a predominant means of expression in the Internet culture, they are not only used as a means of entertainment but as an important tool for advertising, spreading propaganda and even political ideologies. However, the creation of memes is limited to a niche community of content creators who are skilled in photo/video editing software. MIME is a platform which empowers people who lack these skills to become a part of the meme conversation. We built a one-stop solution for all meme needs – a maker space where people can create memes, a personalized meme feed, and a space to connect with other meme enthusiasts. Further, we hypothesize that…

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  • Neural Networks,  Research

    Hardening Deep Neural Networks via Adversarial Model Cascades

    Deep neural networks (DNNs) are vulnerable to malicious inputs crafted by an adversary to produce erroneous outputs. Works on securing neural networks against adversarial examples achieve high empirical robustness on simple datasets such as MNIST. However, these techniques are inadequate when empirically tested on complex data sets such as CIFAR10 and SVHN. Further, existing techniques are designed to target specific attacks and fail to generalize across attacks. We propose Adversarial Model Cascades (AMC) as a way to tackle the above inadequacies. Our approach trains a cascade of models sequentially where each model is optimized to be robust towards a mixture of multiple attacks. Ultimately, it yields a single model which…

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  • Elections2019,  Research

    Female Political Handles: Followed by more, Post more, Re-tweet more, and Follow less

    We manually annotated the 1,252 verified handles, for various characteristics of the handles, like party affiliation, state / city, and gender. Among the 1,252 handles, we found 865 (69.1%) to be men, 133 (10.6%) to be women, and the rest 254 (20.3%) handles to be associated with parties. This blog is dedicated to analysing men and women handles. Analysis was done with the data as of March 1, 2019. We found female political handles to have more followers than males. On average, females had 368.5K (min: 422, max: 12.2M) followers, while male handles has 347.8K (min: 47, max: 46.2M) followers. With @narendramodi having the maximum followers (46.2M) in male and…

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