{"id":580,"date":"2020-06-11T12:40:40","date_gmt":"2020-06-11T17:40:40","guid":{"rendered":"http:\/\/joyojeet.people.si.umich.edu\/?p=580"},"modified":"2020-06-11T12:40:40","modified_gmt":"2020-06-11T17:40:40","slug":"indian-journalists-reach-on-twitter-during-the-covid-19-crisis","status":"publish","type":"post","link":"https:\/\/joyojeet.people.si.umich.edu\/?p=580","title":{"rendered":"Indian Journalists’ reach on Twitter during the COVID-19 crisis"},"content":{"rendered":"

Dibyendu Mishra, Joyojeet Pal<\/strong><\/p>\n

(Suggested Citation: Mishra, D., Pal, J. (2020) Indian Journalists’ reach on Twitter during the COVID-19 crisis. Available online at: https:\/\/joyojeet.people.si.umich.edu\/indian-journalists-reach-on-twitter-during-the-covid-19-crisis\/)<\/p>\n

We mapped the reach of\u00a0Indian journalists in the months leading up to, and following the COVID-19 crisis in India. The goal of this work was to understand the outreach of journalists in India,\u00a0their relationship with\u00a0reach among other journalists, and the impact of\u00a0COVID on the popularity of their work online.\u00a0For the purposes of this work, if an individual represents themselves as a journalist, we take that on face value, thus some of the individuals included in this list are commentators than journalists\/ reporters.<\/p>\n

Two influence metrics: popular\u00a0among Twitter users versus among other journalists<\/strong><\/p>\n

We find first that there is a significant difference between the journalists who are retweeted by other journalists and those that are retweeted by the Twitter using population. Further, looking at the list of most followed Indian journalists online, we find that primarily those that are\u00a0political journalists or commentators on matters of political concern tend to have higher ranking on these scales of influence.<\/p>\n

From the list of top twenty most influential from both lists, only two accounts appear on both – @sardesairajdeep and @RanaAyyub — both get retweeted\u00a0within the fraternity of journalists as well as outside of it. Only Rajdeep Sardesai appears in all three lists.<\/p>\n

@DhanyaRajendran emerges as the most significantly retweeted among other journalists, consistently over several time periods, and has particularly emerged as the most retweeted journalist among journalists post-COVID,\u00a0ranking in the top 5 each month since March. @ShefVaidya is the most influential on Twitter in general, in terms of overall retweets, placing in the top 3 most retweeted journalists for every month (see table further below).<\/p>\n

Some journalists with a huge public footprint do not have as much\u00a0purchase\u00a0among other journalists. We find that some the accounts DChaurasia2312, ippatel and SureshChavhanke do not get widely retweeted by journalists – all rank outside of the top 500, but are highly influential among the general public for their messaging.<\/p>\n

 <\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Rank<\/strong><\/td>\nMost retweeted by other journalists<\/strong><\/td>\nMost retweeted in among Twitter users overall<\/strong><\/td>\nMost followed on Twitter<\/strong><\/td>\n<\/tr>\n
1<\/td>\ndhanyarajendran<\/td>\nShefVaidya<\/td>\nsardesairajdeep<\/td>\n<\/tr>\n
2<\/td>\nShekharGupta<\/td>\nsudhirchaudhary<\/td>\nbhogleharsha<\/td>\n<\/tr>\n
3<\/td>\nVidyaKrishnan<\/td>\nSushantBSinha<\/td>\nBDUTT<\/td>\n<\/tr>\n
4<\/td>\nSvaradarajan<\/td>\nRanaAyyub<\/td>\nrahulkanwal<\/td>\n<\/tr>\n
5<\/td>\nSuhasinih<\/td>\nsardanarohit<\/td>\nvirsanghvi<\/td>\n<\/tr>\n
6<\/td>\nBDUTT<\/td>\nPJkanojia<\/td>\nsagarikaghose<\/td>\n<\/tr>\n
7<\/td>\nNistula<\/td>\nProfdilipmandal<\/td>\nsudhirchaudhary<\/td>\n<\/tr>\n
8<\/td>\nsharmasupriya<\/td>\nDChaurasia2312<\/td>\nsardanarohit<\/td>\n<\/tr>\n
9<\/td>\nVijaita<\/td>\nippatel<\/td>\nRajatSharmaLive<\/td>\n<\/tr>\n
10<\/td>\nrohini_sgh<\/td>\nUnSubtleDesi<\/td>\nanjanaomkashyap<\/td>\n<\/tr>\n
11<\/td>\nfree_thinker<\/td>\nSureshChavhanke<\/td>\nvikramchandra<\/td>\n<\/tr>\n
12<\/td>\narvindgunasekar<\/td>\nsardesairajdeep<\/td>\nDeShobhaa<\/td>\n<\/tr>\n
13<\/td>\nsardesairajdeep<\/td>\nanjanaomkashyap<\/td>\nShekharGupta<\/td>\n<\/tr>\n
14<\/td>\nsomeshjha7<\/td>\nShehzad_Ind<\/td>\nSwetaSinghAT<\/td>\n<\/tr>\n
15<\/td>\nSeemay<\/td>\nAjitanjum<\/td>\nPritishNandy<\/td>\n<\/tr>\n
16<\/td>\nRanaAyyub<\/td>\nAdityaRajKaul<\/td>\nppbajpai<\/td>\n<\/tr>\n
17<\/td>\nDilliDurAst<\/td>\nAshrafFem<\/td>\nRubikaLiyaquat<\/td>\n<\/tr>\n
18<\/td>\nSreenivasanJain<\/td>\nzoo_bear<\/td>\nanupamachopra<\/td>\n<\/tr>\n
19<\/td>\nShivAroor<\/td>\ndhruv_rathee<\/td>\ngauravcsawant<\/td>\n<\/tr>\n
20<\/td>\nNidhi<\/td>\nRubikaLiyaquat<\/td>\nRajeevMasand<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Table 1: Most influential Indian journalists from Jan-May 2020 based on retweets by other journalists or by Twitter users in general, and most followed online.<\/p>\n

 <\/p>\n

Temporal Patterns<\/strong><\/p>\n

We looked at the patterns of influence among journalists by month between January and May 2020.\u00a0Based on the number of retweets received from other journalists, retweets received in general and the number of tweets posted per month (cutoff = 20), we selected the top ~25 per month (Jan:28,March:19,Feb:23,April:24,May:28) and visualized them. The x axis represents the total retweets received by the journalist for that month and the y axis represents the total retweets received from other journalists. The size of the bubbles represent the number of followers the accounts have. The values on the axes were log10 scaled and the size of the bubbles were square root scaled.<\/p>\n

We see that there is a larger agglomeration of some of the bigger bubbles along the right end of the graph — thus Rahul Kanwal, Rajdeep Sardesai, and Sreenivasan Jain were highly influential\u00a0with both the general public and other journalists in this period. But we also see here, a couple of small bubbles – @seemay and @RohanV, which have a small number of followers but is extremely influential among other journalists, but does not appear as significantly in general public retweets. Similarly @ippatel is an account with small following that consistently gets highly retweeted in the general public.<\/div>\n

\"\"<\/a><\/p>\n

 <\/p>\n

In February, we see a bigger spread among\u00a0in the placement of accounts — first, we find that @RanaAyyub is highly retweeted, but we also see the emergence of two important accounts – @saahilmenghani and @arvindgunasekar, both accounts with relatively small following which get a great deal of attention from other journalists. This is attributable to the Delhi riots around this time, and the coverage\u00a0and Twitter activity of some of these accounts. For instance, @dhruv_rathee and @TheDeshBhakt, both unaffiliated with a news organization were highly influential in this period.<\/p>\n

\"\"<\/a><\/p>\n

The most important trend in March 2020 is the emergence of @dhanyarajendran as\u00a0by a massve gap (log scaled figure below) the most influential commentator among mainstream journalists.\u00a0While @AdityaRajKaul and @ShivAroor were\u00a0highly influential in this period, @sharmasupriya @VidyaKrishnan, relatively less followed but extremely important accounts for the coverage of health- and COVID-related commentary emerged as\u00a0influential\u00a0among other journalists.<\/p>\n

\"\"<\/a><\/p>\n

A critical difference between the March and April 2020 spread is the\u00a0appearance of\u00a0polarization on the figure. We see several accounts that are highly tweeted in the general public – @ShefVaidya, @DChaurasia2312, @RajatSharmaLive, though these do not receive as much throughput among other journalists. This can be\u00a0related to the high degree of polarization following the Nizamuddin Markaz COVID-related news and its aftermath.\u00a0During this period @VidyaKrishnan emerges as the most retweeted journalist, primarily for health coverage done during this period.<\/p>\n

\"\"<\/a><\/p>\n

Finally, in May 2020, we see the dominance of @BDUTT among other journalists, primarily for\u00a0reportage on the road in the period when the migrant crisis grew most intense.\u00a0 Another interesting account in this period is that of @zoo_bear, which despite relatively low overall Twitter following, ranks highly both among general Twitter users and among other journalists. @Senthilvel79 is the only South Indian journalist in this figure, underlining the dominance of North Indian, and English-, and to a lesser extent Hindi-language content on Twitter influence networks.<\/p>\n

\"\"<\/a><\/p>\n

 <\/p>\n

High polarization on top, even spread among less followed journalists<\/strong><\/p>\n

We compiled a list of the journalists who had less than 30,000 followers (at the start of January 2020) but had very high impact in terms of their stories finding purchase among other journalists as well as among the\u00a0 general public. @saahilmenghani and @VidyaKrishnan both appear among the top 5 of both lists for the entire period of Jan-May 2020, but we see in this list that a number of the top 10 list are both highly retweeted among journalists and among the general population.
\nThis raises an important difference between these list of the most followed journalists overall. While there is much polarization in the main list — with\u00a0the leaders on one side such as @dhanyarajendran, @arvindgunasekar, @sharmasupriya getting relatively\u00a0less attention in the general public\u00a0in terms of retweets, giants on the other list like @sudhirchaudhary, @SushantBSinha, @RahulSinhaZee get relatively little attention from among other journalists.<\/p>\n

Some accounts with fairly small following – in the range of 3000 followers or less include @parthpunter, @somyalakhani, @A2D2_, @rubberneckin, @Teensthack, @ArchisMohan, @AnjaliMody1, all of whom have a very significant footprint among journalists and the general public alike.<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
\u00a0Rank<\/strong><\/td>\nMost retweeted by other journalists<\/strong><\/td>\nMost retweeted in among Twitter users overall<\/strong><\/td>\n<\/tr>\n
1<\/td>\nsaahilmenghani<\/td>\nsaahilmenghani<\/td>\n<\/tr>\n
2<\/td>\nparthpunter<\/td>\nrajshekharTOI<\/td>\n<\/tr>\n
3<\/td>\nVidyaKrishnan<\/td>\nVidyaKrishnan<\/td>\n<\/tr>\n
4<\/td>\nscribe_prashant<\/td>\nscribe_prashant<\/td>\n<\/tr>\n
5<\/td>\nZebaism<\/td>\nZebaism<\/td>\n<\/tr>\n
6<\/td>\nRohanV<\/td>\nanantvijay<\/td>\n<\/tr>\n
7<\/td>\nalok_pandey<\/td>\nsohitmishra99<\/td>\n<\/tr>\n
8<\/td>\nnavinjournalist<\/td>\nnavinjournalist<\/td>\n<\/tr>\n
9<\/td>\nsengarlive<\/td>\nsengarlive<\/td>\n<\/tr>\n
10<\/td>\nsomyalakhani<\/td>\nzafarabbaszaidi<\/td>\n<\/tr>\n
11<\/td>\nA2D2_<\/td>\nsidhant<\/td>\n<\/tr>\n
12<\/td>\ncapt_ivane<\/td>\ncapt_ivane<\/td>\n<\/tr>\n
13<\/td>\nabantika77<\/td>\nalok_pandey<\/td>\n<\/tr>\n
14<\/td>\nKhurafatiChopra<\/td>\nniranjan2428<\/td>\n<\/tr>\n
15<\/td>\nrubberneckin<\/td>\nparthpunter<\/td>\n<\/tr>\n
16<\/td>\nsneheshphilip<\/td>\nsneheshphilip<\/td>\n<\/tr>\n
17<\/td>\nsoutikBBC<\/td>\nBenarasiyaa<\/td>\n<\/tr>\n
18<\/td>\nadityatiwaree<\/td>\nadityatiwaree<\/td>\n<\/tr>\n
19<\/td>\nsuchitrav<\/td>\nsuchitrav<\/td>\n<\/tr>\n
20<\/td>\nBenarasiyaa<\/td>\nSaurabh_Unmute<\/td>\n<\/tr>\n
21<\/td>\nNairShilpa1308<\/td>\nDeepalTrevedie<\/td>\n<\/tr>\n
22<\/td>\ntjoseph0010<\/td>\ntjoseph0010<\/td>\n<\/tr>\n
23<\/td>\nsomeshjha7<\/td>\nsomeshjha7<\/td>\n<\/tr>\n
24<\/td>\nLangaMahesh<\/td>\nLangaMahesh<\/td>\n<\/tr>\n
25<\/td>\nutkarsh_aanand<\/td>\nutkarsh_aanand<\/td>\n<\/tr>\n
26<\/td>\nMathewLiz<\/td>\nrsrobin1<\/td>\n<\/tr>\n
27<\/td>\nUrmileshJ<\/td>\nUrmileshJ<\/td>\n<\/tr>\n
28<\/td>\nMohansinha<\/td>\nMohansinha<\/td>\n<\/tr>\n
29<\/td>\nPoulomiMSaha<\/td>\nPoulomiMSaha<\/td>\n<\/tr>\n
30<\/td>\nanusharavi10<\/td>\ndevpromoth<\/td>\n<\/tr>\n
31<\/td>\nNihaMasih<\/td>\nNihaMasih<\/td>\n<\/tr>\n
32<\/td>\nTeensthack<\/td>\nMrityunjayUP<\/td>\n<\/tr>\n
33<\/td>\nArchisMohan<\/td>\nBhayankur<\/td>\n<\/tr>\n
34<\/td>\nShoaibDaniyal<\/td>\nbaxiabhishek<\/td>\n<\/tr>\n
35<\/td>\nmahajournalist<\/td>\nmahajournalist<\/td>\n<\/tr>\n
36<\/td>\nthakur_shivangi<\/td>\nthakur_shivangi<\/td>\n<\/tr>\n
37<\/td>\nAnjaliMody1<\/td>\nMeghaSPrasad<\/td>\n<\/tr>\n
38<\/td>\nsidhant<\/td>\nAshishSinghNews<\/td>\n<\/tr>\n
39<\/td>\nJatinPaul<\/td>\nsaurabh3vedi<\/td>\n<\/tr>\n
40<\/td>\nDeepalTrevedie<\/td>\nrohanduaTOI<\/td>\n<\/tr>\n
41<\/td>\nmanaman_chhina<\/td>\nmanaman_chhina<\/td>\n<\/tr>\n
42<\/td>\nomjasvinMD<\/td>\npayalmehta100<\/td>\n<\/tr>\n
43<\/td>\nnambath<\/td>\nRizviUzair<\/td>\n<\/tr>\n
44<\/td>\nbaxiabhishek<\/td>\nNairShilpa1308<\/td>\n<\/tr>\n
45<\/td>\nhemantrajora_<\/td>\nAsimAli6<\/td>\n<\/tr>\n
46<\/td>\nNPDay<\/td>\nTanyaYadav128<\/td>\n<\/tr>\n
47<\/td>\nnit_set<\/td>\nnit_set<\/td>\n<\/tr>\n
48<\/td>\nsang1983<\/td>\nsang1983<\/td>\n<\/tr>\n
49<\/td>\nDeeptimanTY<\/td>\nbharath1<\/td>\n<\/tr>\n
50<\/td>\nvrsrini<\/td>\nMasratzahra<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n

Relative Importance\u00a0<\/strong><\/p>\n

The relative rank classification is a good metric for understanding who are the “overperformers” in their respective groups. This helps us understand not just who are\u00a0retweeted\u00a0as a linear function of their following, but a\u00a0weighted representation of their influence, given their following.\u00a0 More details in the methodogy section.<\/p>\n

 <\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Rank<\/strong><\/td>\nRelative Rank: in-group importance<\/strong><\/td>\nRelative Rank – out-group importance<\/strong><\/td>\n<\/tr>\n
1<\/td>\nVidyaKrishnan<\/td>\nProfdilipmandal<\/td>\n<\/tr>\n
2<\/td>\nvijaita<\/td>\nzoo_bear<\/td>\n<\/tr>\n
3<\/td>\nsharmasupriya<\/td>\nAshrafFem<\/td>\n<\/tr>\n
4<\/td>\narvindgunasekar<\/td>\numashankarsingh<\/td>\n<\/tr>\n
5<\/td>\nDilliDurAst<\/td>\nSaketGokhale<\/td>\n<\/tr>\n
6<\/td>\nzoo_bear<\/td>\nashokshrivasta6<\/td>\n<\/tr>\n
7<\/td>\nseemay<\/td>\nvikasbhaABP<\/td>\n<\/tr>\n
8<\/td>\nsomeshjha7<\/td>\nIyervval<\/td>\n<\/tr>\n
9<\/td>\nSaketGokhale<\/td>\njyotiyadaav<\/td>\n<\/tr>\n
10<\/td>\nsamar11<\/td>\nTheSamirAbbas<\/td>\n<\/tr>\n
11<\/td>\nAmanKayamHai_ET<\/td>\nakhileshsharma1<\/td>\n<\/tr>\n
12<\/td>\nsaahilmenghani<\/td>\nAdityaMenon22<\/td>\n<\/tr>\n
13<\/td>\nSushantSin<\/td>\nDilliDurAst<\/td>\n<\/tr>\n
14<\/td>\nprempanicker<\/td>\nIMinakshiJoshi<\/td>\n<\/tr>\n
15<\/td>\nAdityaMenon22<\/td>\narvindgunasekar<\/td>\n<\/tr>\n
16<\/td>\nsatishacharya<\/td>\njgopikrishnan70<\/td>\n<\/tr>\n
17<\/td>\nsamjawed65<\/td>\nsatishacharya<\/td>\n<\/tr>\n
18<\/td>\nRohanV<\/td>\nAartiTikoo<\/td>\n<\/tr>\n
19<\/td>\nrupasubramanya<\/td>\npalkisu<\/td>\n<\/tr>\n
20<\/td>\nvasudha_ET<\/td>\nJournoAshutosh<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n

Methodology<\/strong><\/p>\n

We analysed 1.6M tweets from the accounts of\u00a03906 most-followed self-identified journalists on Twitter over the last 5 months (January – May 2020). There were approximately\u00a02441 Indian journalists and 1465\u00a0international journalists among\u00a0these. This list was populated through a seed set of journalists initially populated using the media accounts most followed by politicians<\/a>.\u00a0We then expanded the earlier list<\/a> by including the Twitter friends of the seeded journalists and including from those verified journalists\u00a0and those we did a ground truth test on using human coders.<\/div>\n
<\/div>\n
\n
Influence Analysis<\/strong><\/div>\n<\/div>\n
\n
We use 3 different measures to gauge influetial journalists in our database. We first use the number of followers(i1) to understand how many people get updates about the user on their timeline regularly. Now, other users could also retweet the posts and pass it along to their followers. So, we also keep a track of the number of retweets(i2) gained by the user on a post, as a measure of influence. Lastly, we also keep track of other journalists who retweeted(i3) a particular post as a measure of influence because … Since these measures independently wouldn’t be a strong measure, we use Spearman’s rank correlation coefficient to measure the strength of association of the 3 influence metrics to arrive at a score. We find that there is a significant correlation between i1 and i2 and i1 and i3. We utilise this knowledge to construct two scores r1 and r2. r1 = (1\/rank(i1))*(1\/rank(i3)), r2 =(1\/rank(i1))*(1\/rank(i2)). These scores are directly proportional to the influence a journalist has. Our methodology builds on the work of Cha et. al to measure influence of individual Twitter accounts [1]<\/div>\n<\/div>\n
<\/div>\n
\n
Limitations<\/strong><\/div>\n
This study has some important limitations in terms of the actual value this accords to various metrics.\u00a0The most important, is that activity on Twitter in and of itself is not an adequate indicator of an individual’s influence on the news cycle or on opinion itself. It is one among many others. Mastering social media also requires a certain sensibility with short form output, which many influential commentators may not have. Second, we do not have a good way of measuring the political valence of individual commentators’ messages and their popularity — ie whether someone is being rewarded through retweets online because of pre-existing public agreement with their positions.<\/div>\n<\/div>\n
<\/div>\n
<\/div>\n
<\/div>\n
Appendices<\/strong><\/div>\n
<\/div>\n
\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Rank<\/strong><\/td>\nJan-20<\/strong><\/td>\nFeb-20<\/strong><\/td>\nMar-20<\/strong><\/td>\nApr-20<\/strong><\/td>\nMay-20<\/strong><\/td>\n<\/tr>\n
1<\/td>\nseemay<\/td>\nsaahilmenghani<\/td>\ndhanyarajendran<\/td>\nVidyaKrishnan<\/td>\nBDUTT<\/td>\n<\/tr>\n
2<\/td>\nSreenivasanJain<\/td>\nShekharGupta<\/td>\nVidyaKrishnan<\/td>\ndhanyarajendran<\/td>\nsvaradarajan<\/td>\n<\/tr>\n
3<\/td>\nsuhasinih<\/td>\nRanaAyyub<\/td>\nShekharGupta<\/td>\nsvaradarajan<\/td>\ndhanyarajendran<\/td>\n<\/tr>\n
4<\/td>\nvijaita<\/td>\narvindgunasekar<\/td>\nsharmasupriya<\/td>\nBDUTT<\/td>\nvijaita<\/td>\n<\/tr>\n
5<\/td>\nsomeshjha7<\/td>\nNidhi<\/td>\nnistula<\/td>\nnistula<\/td>\nsomeshjha7<\/td>\n<\/tr>\n
6<\/td>\nShekharGupta<\/td>\nseemay<\/td>\nShivAroor<\/td>\nShekharGupta<\/td>\nLangaMahesh<\/td>\n<\/tr>\n
7<\/td>\nsardesairajdeep<\/td>\nsuhasinih<\/td>\nsuhasinih<\/td>\nsuhasinih<\/td>\nnistula<\/td>\n<\/tr>\n
8<\/td>\nSushantSin<\/td>\nsharmasupriya<\/td>\nsardesairajdeep<\/td>\nvijaita<\/td>\nShekharGupta<\/td>\n<\/tr>\n
9<\/td>\nfree_thinker<\/td>\nfree_thinker<\/td>\narvindgunasekar<\/td>\nrohini_sgh<\/td>\nVidyaKrishnan<\/td>\n<\/tr>\n
10<\/td>\nrohini_sgh<\/td>\nrohini_sgh<\/td>\nsvaradarajan<\/td>\nfree_thinker<\/td>\nrohini_sgh<\/td>\n<\/tr>\n
11<\/td>\nrahulkanwal<\/td>\ndhanyarajendran<\/td>\nsomeshjha7<\/td>\nsardesairajdeep<\/td>\nsharmasupriya<\/td>\n<\/tr>\n
12<\/td>\ndhanyarajendran<\/td>\nsardesairajdeep<\/td>\nBDUTT<\/td>\narvindgunasekar<\/td>\nparthpunter<\/td>\n<\/tr>\n
13<\/td>\narvindgunasekar<\/td>\nSreenivasanJain<\/td>\nfree_thinker<\/td>\nzoo_bear<\/td>\nfree_thinker<\/td>\n<\/tr>\n
14<\/td>\nDilliDurAst<\/td>\nzoo_bear<\/td>\nrohini_sgh<\/td>\nLangaMahesh<\/td>\nsuhasinih<\/td>\n<\/tr>\n
15<\/td>\nsvaradarajan<\/td>\nvijaita<\/td>\nvijaita<\/td>\nsharmasupriya<\/td>\nDilliDurAst<\/td>\n<\/tr>\n
16<\/td>\nNidhi<\/td>\nsvaradarajan<\/td>\nalok_pandey<\/td>\nparthpunter<\/td>\nzoo_bear<\/td>\n<\/tr>\n
17<\/td>\nRohanV<\/td>\nZebaism<\/td>\nAdityaRajKaul<\/td>\nwaglenikhil<\/td>\nDeepalTrevedie<\/td>\n<\/tr>\n
18<\/td>\nprempanicker<\/td>\nfayedsouza<\/td>\nsamar11<\/td>\nAmanKayamHai_ET<\/td>\nsaahilmenghani<\/td>\n<\/tr>\n
19<\/td>\nnistula<\/td>\nnistula<\/td>\nseemay<\/td>\nRanaAyyub<\/td>\nbainjal<\/td>\n<\/tr>\n
20<\/td>\nsharmasupriya<\/td>\nnilanjanaroy<\/td>\nDilliDurAst<\/td>\nShivAroor<\/td>\ntjoseph0010<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Table 2: India\u2019s most influential journalists on Twitter based on in-network influence (retweeting by other journalists)<\/p>\n<\/div>\n

<\/div>\n
<\/div>\n
\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Rank<\/strong><\/td>\nJan-20<\/strong><\/td>\nFeb-20<\/strong><\/td>\nMar-20<\/strong><\/td>\nApr-20<\/strong><\/td>\nMay-20<\/strong><\/td>\n<\/tr>\n
1<\/td>\nShefVaidya<\/td>\nRanaAyyub<\/td>\nSushantBSinha<\/td>\nShefVaidya<\/td>\nsudhirchaudhary<\/td>\n<\/tr>\n
2<\/td>\nIppatel<\/td>\nSushantBSinha<\/td>\nRanaAyyub<\/td>\nanjanaomkashyap<\/td>\nShefVaidya<\/td>\n<\/tr>\n
3<\/td>\nSudhirchaudhary<\/td>\nAshrafFem<\/td>\nShefVaidya<\/td>\nSardanarohit<\/td>\nippatel<\/td>\n<\/tr>\n
4<\/td>\ndhruv_rathee<\/td>\nPJkanojia<\/td>\nSardanarohit<\/td>\nRajatSharmaLive<\/td>\nDChaurasia2312<\/td>\n<\/tr>\n
5<\/td>\nProfdilipmandal<\/td>\nsudhirchaudhary<\/td>\nsardesairajdeep<\/td>\nDChaurasia2312<\/td>\nPJkanojia<\/td>\n<\/tr>\n
6<\/td>\nSushantBSinha<\/td>\nvinodkapri<\/td>\nAdityaRajKaul<\/td>\nSushantBSinha<\/td>\nzoo_bear<\/td>\n<\/tr>\n
7<\/td>\nUnSubtleDesi<\/td>\ndhruv_rathee<\/td>\nShehzad_Ind<\/td>\nProfdilipmandal<\/td>\nSureshChavhanke<\/td>\n<\/tr>\n
8<\/td>\nsardesairajdeep<\/td>\nsardanarohit<\/td>\nUnSubtleDesi<\/td>\nPJkanojia<\/td>\nProfdilipmandal<\/td>\n<\/tr>\n
9<\/td>\nTheDeshBhakt<\/td>\nSureshChavhanke<\/td>\nsudhirchaudhary<\/td>\nzoo_bear<\/td>\nSushantBSinha<\/td>\n<\/tr>\n
10<\/td>\nRahulroushan<\/td>\nUnSubtleDesi<\/td>\nanjanaomkashyap<\/td>\nShehzad_Ind<\/td>\nRanaAyyub<\/td>\n<\/tr>\n
11<\/td>\nRanaAyyub<\/td>\nabhisar_sharma<\/td>\nShivAroor<\/td>\nRubikaLiyaquat<\/td>\nsardanarohit<\/td>\n<\/tr>\n
12<\/td>\nPJkanojia<\/td>\nTheDeshBhakt<\/td>\nAshrafFem<\/td>\nRanaAyyub<\/td>\nrohini_sgh<\/td>\n<\/tr>\n
13<\/td>\nSardanarohit<\/td>\nProfdilipmandal<\/td>\nRubikaLiyaquat<\/td>\nSureshChavhanke<\/td>\numashankarsingh<\/td>\n<\/tr>\n
14<\/td>\nSaketGokhale<\/td>\nswati_gs<\/td>\nPJkanojia<\/td>\nswati_gs<\/td>\nUnSubtleDesi<\/td>\n<\/tr>\n
15<\/td>\nShehzad_Ind<\/td>\nsakshijoshii<\/td>\najitanjum<\/td>\nchitraaum<\/td>\nanjanaomkashyap<\/td>\n<\/tr>\n
16<\/td>\nAjitanjum<\/td>\nfayedsouza<\/td>\nSureshChavhanke<\/td>\najitanjum<\/td>\nAdityaRajKaul<\/td>\n<\/tr>\n
17<\/td>\nrohini_sgh<\/td>\nsardesairajdeep<\/td>\nKanchanGupta<\/td>\nippatel<\/td>\nAMISHDEVGAN<\/td>\n<\/tr>\n
18<\/td>\nRahulkanwal<\/td>\najitanjum<\/td>\nAMISHDEVGAN<\/td>\nsudhirchaudhary<\/td>\najitanjum<\/td>\n<\/tr>\n
19<\/td>\nVinodkapri<\/td>\nBDUTT<\/td>\nchitraaum<\/td>\nsardesairajdeep<\/td>\nbainjal<\/td>\n<\/tr>\n
20<\/td>\nBainjal<\/td>\nzoo_bear<\/td>\nRajatSharmaLive<\/td>\nUnSubtleDesi<\/td>\nShehzad_Ind<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Table 3: India\u2019s most influential journalists on Twitter based on out-network influence (overall retweet rate online)<\/p>\n

 <\/p>\n<\/div>\n

<\/div>\n
<\/div>\n
References<\/strong><\/div>\n
M Cha, H Haddadi, F Benevenuto, Gummadi, K.\u00a0 (2010) Measuring user influence in twitter: The million follower fallacy. Fourth International AAAI conference on weblogs and social media. https:\/\/people.mpi-sws.org\/~gummadi\/papers\/icwsm2010_cha.pdf<\/div>\n","protected":false},"excerpt":{"rendered":"

Dibyendu Mishra, Joyojeet Pal (Suggested Citation: Mishra, D., Pal, J. (2020) Indian Journalists’ reach on Twitter during the COVID-19 crisis. Available online at: https:\/\/joyojeet.people.si.umich.edu\/indian-journalists-reach-on-twitter-during-the-covid-19-crisis\/) We mapped the reach of\u00a0Indian journalists in the months leading up to, and following the COVID-19 crisis in India. The goal of this work was to understand the outreach of journalists […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[],"class_list":["post-580","post","type-post","status-publish","format-standard","hentry","category-2"],"_links":{"self":[{"href":"https:\/\/joyojeet.people.si.umich.edu\/index.php?rest_route=\/wp\/v2\/posts\/580","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/joyojeet.people.si.umich.edu\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/joyojeet.people.si.umich.edu\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/joyojeet.people.si.umich.edu\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/joyojeet.people.si.umich.edu\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=580"}],"version-history":[{"count":0,"href":"https:\/\/joyojeet.people.si.umich.edu\/index.php?rest_route=\/wp\/v2\/posts\/580\/revisions"}],"wp:attachment":[{"href":"https:\/\/joyojeet.people.si.umich.edu\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=580"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/joyojeet.people.si.umich.edu\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=580"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/joyojeet.people.si.umich.edu\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=580"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}