{"id":1379,"date":"2017-03-05T00:15:25","date_gmt":"2017-03-05T04:15:25","guid":{"rendered":"https:\/\/www.openbible.info\/blog\/?p=1379"},"modified":"2017-03-05T00:15:25","modified_gmt":"2017-03-05T04:15:25","slug":"what-twitterers-are-giving-up-for-lent-2017-edition","status":"publish","type":"post","link":"https:\/\/www.openbible.info\/blog\/2017\/03\/what-twitterers-are-giving-up-for-lent-2017-edition\/","title":{"rendered":"What Twitterers Are Giving up for Lent (2017 Edition)"},"content":{"rendered":"

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

This year, alcohol topped the list for the first time; it’s been hovering in the top five for the past few years, last year landing at a then-record #3. Possibly the recent popularity of Dry January<\/a> (according to the article, 16% of British adults participated in 2016) is carrying over to Lent.<\/p>\n

“Chips” cracked the top five this year largely because British Prime Minister Theresa May announced<\/a> she was giving them up for Lent. This announcement had knock-on effects lower down the list, with “her favourite thing” and “live mice<\/a>” both coming in at #88. The announcement of the potential closure of a U.K. chip factory the next day led to further jokes<\/a>. For my U.K. readers, yes, I know you call them crisps (and your “chips” are U.S. “French fries”); I would now tell myself in 2009, when I first started compiling this list, not to combine “chips” and “crisps” into a single line, but it’s too late now.<\/p>\n

Donald Trump is a big winner this year, landing at #22, just behind “Facebook” but ahead of “hope.” “The presidency” comes in at #52. In all, there are 1,002 tweets mentioning “Trump,” “President,” and “POTUS,” which is good enough for #10 on the list if we were to combine them all into a single line.<\/p>\n

“The dirtiest thing” (#66) refers to a campaign<\/a> to give up non-renewable energy.<\/p>\n

This year, 73,334 tweets (excluding retweets) specifically mention giving up something. This total is up from last year’s 60,000 tweets; I used broader search terms this year (“lent” and “lent2017”) than I have in the past. In all, this year the analysis covers 694,244 tweets, up from 200,000 last year–again, largely because of the broader search terms.<\/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\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\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Rank<\/th>\nWord<\/th>\nCount<\/th>\nChange from last year\u2019s rank<\/th>\n<\/tr>\n
1.<\/td>\nAlcohol<\/a><\/td>\n2,396<\/td>\n+2<\/td>\n<\/tr>\n
2.<\/td>\nSocial networking<\/a><\/td>\n2,148<\/td>\n0<\/td>\n<\/tr>\n
3.<\/td>\nChocolate<\/a><\/td>\n2,143<\/td>\n-2<\/td>\n<\/tr>\n
4.<\/td>\nTwitter<\/a><\/td>\n2,064<\/td>\n0<\/td>\n<\/tr>\n
5.<\/td>\nChips<\/a><\/td>\n1,416<\/td>\n+15<\/td>\n<\/tr>\n
6.<\/td>\nSwearing<\/a><\/td>\n1,395<\/td>\n0<\/td>\n<\/tr>\n
7.<\/td>\nSchool<\/a><\/td>\n1,189<\/td>\n-2<\/td>\n<\/tr>\n
8.<\/td>\nSoda<\/a><\/td>\n1,186<\/td>\n-1<\/td>\n<\/tr>\n
9.<\/td>\nFast food<\/a><\/td>\n1,092<\/td>\n+1<\/td>\n<\/tr>\n
10.<\/td>\nSweets<\/a><\/td>\n990<\/td>\n-2<\/td>\n<\/tr>\n
11.<\/td>\nCoffee<\/a><\/td>\n969<\/td>\n-2<\/td>\n<\/tr>\n
12.<\/td>\nMeat<\/a><\/td>\n909<\/td>\n-1<\/td>\n<\/tr>\n
13.<\/td>\nLent<\/a><\/td>\n906<\/td>\n0<\/td>\n<\/tr>\n
14.<\/td>\nCollege<\/a><\/td>\n894<\/td>\n+5<\/td>\n<\/tr>\n
15.<\/td>\nBeer<\/a><\/td>\n888<\/td>\n+8<\/td>\n<\/tr>\n
16.<\/td>\nBread<\/a><\/td>\n691<\/td>\n0<\/td>\n<\/tr>\n
17.<\/td>\nSugar<\/a><\/td>\n660<\/td>\n-5<\/td>\n<\/tr>\n
18.<\/td>\nLife<\/a><\/td>\n645<\/td>\n+11<\/td>\n<\/tr>\n
19.<\/td>\nSex<\/a><\/td>\n612<\/td>\n-1<\/td>\n<\/tr>\n
20.<\/td>\nYou<\/a><\/td>\n609<\/td>\n-5<\/td>\n<\/tr>\n
21.<\/td>\nFacebook<\/a><\/td>\n594<\/td>\n-7<\/td>\n<\/tr>\n
22.<\/td>\nDonald Trump<\/a><\/td>\n520<\/td>\n+62<\/td>\n<\/tr>\n
23.<\/td>\nHope<\/a><\/td>\n456<\/td>\n+31<\/td>\n<\/tr>\n
24.<\/td>\nWork<\/a><\/td>\n442<\/td>\n+3<\/td>\n<\/tr>\n
25.<\/td>\nBoys<\/a><\/td>\n433<\/td>\n-1<\/td>\n<\/tr>\n
26.<\/td>\nReligion<\/a><\/td>\n406<\/td>\n+4<\/td>\n<\/tr>\n
27.<\/td>\nJunk food<\/a><\/td>\n401<\/td>\n-6<\/td>\n<\/tr>\n
28.<\/td>\nHomework<\/a><\/td>\n393<\/td>\n-6<\/td>\n<\/tr>\n
29.<\/td>\nPizza<\/a><\/td>\n373<\/td>\n-12<\/td>\n<\/tr>\n
30.<\/td>\nSmoking<\/a><\/td>\n296<\/td>\n+5<\/td>\n<\/tr>\n
31.<\/td>\nCandy<\/a><\/td>\n288<\/td>\n-5<\/td>\n<\/tr>\n
32.<\/td>\nCheese<\/a><\/td>\n284<\/td>\n+4<\/td>\n<\/tr>\n
33.<\/td>\nMarijuana<\/a><\/td>\n267<\/td>\n+6<\/td>\n<\/tr>\n
34.<\/td>\nStarbucks<\/a><\/td>\n265<\/td>\n-6<\/td>\n<\/tr>\n
35.<\/td>\nCatholicism<\/a><\/td>\n259<\/td>\n+12<\/td>\n<\/tr>\n
36.<\/td>\nIce cream<\/a><\/td>\n249<\/td>\n-5<\/td>\n<\/tr>\n
37.<\/td>\nCookies<\/a><\/td>\n227<\/td>\n+1<\/td>\n<\/tr>\n
38.<\/td>\nF***boys<\/a><\/td>\n220<\/td>\n-13<\/td>\n<\/tr>\n
39.<\/td>\nWine<\/a><\/td>\n219<\/td>\n-2<\/td>\n<\/tr>\n
40.<\/td>\nBeing petty<\/a><\/td>\n212<\/td>\n+21<\/td>\n<\/tr>\n
41.<\/td>\nInstagram<\/a><\/td>\n210<\/td>\n-8<\/td>\n<\/tr>\n
41.<\/td>\nBreathing<\/a><\/td>\n210<\/td>\n+22<\/td>\n<\/tr>\n
42.<\/td>\nRice<\/a><\/td>\n209<\/td>\n0<\/td>\n<\/tr>\n
43.<\/td>\nCarbs<\/a><\/td>\n202<\/td>\n+5<\/td>\n<\/tr>\n
43.<\/td>\nFried food<\/a><\/td>\n202<\/td>\n+6<\/td>\n<\/tr>\n
44.<\/td>\nMakeup<\/a><\/td>\n201<\/td>\n+2<\/td>\n<\/tr>\n
45.<\/td>\nShopping<\/a><\/td>\n190<\/td>\n+3<\/td>\n<\/tr>\n
46.<\/td>\nPeople<\/a><\/td>\n189<\/td>\n+4<\/td>\n<\/tr>\n
47.<\/td>\nVirginity<\/a><\/td>\n185<\/td>\n+12<\/td>\n<\/tr>\n
48.<\/td>\nRed meat<\/a><\/td>\n184<\/td>\n+3<\/td>\n<\/tr>\n
49.<\/td>\nStuff<\/a><\/td>\n180<\/td>\n-5<\/td>\n<\/tr>\n
50.<\/td>\nSnapchat<\/a><\/td>\n168<\/td>\n-16<\/td>\n<\/tr>\n
51.<\/td>\nFrench fries<\/a><\/td>\n166<\/td>\n-6<\/td>\n<\/tr>\n
52.<\/td>\nThe presidency<\/a><\/td>\n164<\/td>\n+82<\/td>\n<\/tr>\n
53.<\/td>\nProcrastination<\/a><\/td>\n159<\/td>\n+3<\/td>\n<\/tr>\n
54.<\/td>\nMen<\/a><\/td>\n158<\/td>\n+18<\/td>\n<\/tr>\n
55.<\/td>\nSobriety<\/a><\/td>\n156<\/td>\n+5<\/td>\n<\/tr>\n
56.<\/td>\nLiquor<\/a><\/td>\n155<\/td>\n+6<\/td>\n<\/tr>\n
57.<\/td>\nMy will to live<\/a><\/td>\n154<\/td>\n+77<\/td>\n<\/tr>\n
58.<\/td>\nFood<\/a><\/td>\n150<\/td>\n-15<\/td>\n<\/tr>\n
58.<\/td>\nNegativity<\/a><\/td>\n150<\/td>\n-3<\/td>\n<\/tr>\n
59.<\/td>\nTakeout<\/a><\/td>\n148<\/td>\n+7<\/td>\n<\/tr>\n
60.<\/td>\nDairy<\/a><\/td>\n144<\/td>\n+6<\/td>\n<\/tr>\n
61.<\/td>\nMcDonald’s<\/a><\/td>\n143<\/td>\n-8<\/td>\n<\/tr>\n
62.<\/td>\nBooze<\/a><\/td>\n141<\/td>\n-4<\/td>\n<\/tr>\n
63.<\/td>\nMasturbation<\/a><\/td>\n138<\/td>\n-8<\/td>\n<\/tr>\n
64.<\/td>\nNetflix<\/a><\/td>\n136<\/td>\n-32<\/td>\n<\/tr>\n
64.<\/td>\nHot Cheetos<\/a><\/td>\n136<\/td>\n-1<\/td>\n<\/tr>\n
65.<\/td>\nEating out<\/a><\/td>\n133<\/td>\n+6<\/td>\n<\/tr>\n
66.<\/td>\nThe dirtiest thing<\/a><\/td>\n132<\/td>\n+28<\/td>\n<\/tr>\n
67.<\/td>\nComplaining<\/a><\/td>\n130<\/td>\n-10<\/td>\n<\/tr>\n
68.<\/td>\nDesserts<\/a><\/td>\n126<\/td>\n-16<\/td>\n<\/tr>\n
69.<\/td>\nCaffeine<\/a><\/td>\n125<\/td>\n-19<\/td>\n<\/tr>\n
70.<\/td>\nCoke<\/a><\/td>\n124<\/td>\n-9<\/td>\n<\/tr>\n
71.<\/td>\nLying<\/a><\/td>\n123<\/td>\n+15<\/td>\n<\/tr>\n
72.<\/td>\nSleep<\/a><\/td>\n115<\/td>\n-2<\/td>\n<\/tr>\n
73.<\/td>\nHim<\/a><\/td>\n114<\/td>\n+3<\/td>\n<\/tr>\n
74.<\/td>\nFeelings<\/a><\/td>\n108<\/td>\n-22<\/td>\n<\/tr>\n
75.<\/td>\nFizzy drinks<\/a><\/td>\n103<\/td>\n-12<\/td>\n<\/tr>\n
76.<\/td>\nMy job<\/a><\/td>\n99<\/td>\n+15<\/td>\n<\/tr>\n
76.<\/td>\nJuice<\/a><\/td>\n99<\/td>\n+1<\/td>\n<\/tr>\n
76.<\/td>\nChick Fil A<\/a><\/td>\n99<\/td>\n-8<\/td>\n<\/tr>\n
77.<\/td>\nPasta<\/a><\/td>\n95<\/td>\n-12<\/td>\n<\/tr>\n
78.<\/td>\nPancakes<\/a><\/td>\n94<\/td>\n-7<\/td>\n<\/tr>\n
79.<\/td>\nNothing<\/a><\/td>\n91<\/td>\n+14<\/td>\n<\/tr>\n
80.<\/td>\nOnline shopping<\/a><\/td>\n89<\/td>\n-17<\/td>\n<\/tr>\n
81.<\/td>\nNaps<\/a><\/td>\n88<\/td>\n+9<\/td>\n<\/tr>\n
82.<\/td>\nChurch<\/a><\/td>\n87<\/td>\n-1<\/td>\n<\/tr>\n
83.<\/td>\nLiving<\/a><\/td>\n86<\/td>\n+43<\/td>\n<\/tr>\n
84.<\/td>\nMemes<\/a><\/td>\n83<\/td>\n+27<\/td>\n<\/tr>\n
85.<\/td>\nCake<\/a><\/td>\n82<\/td>\n-15<\/td>\n<\/tr>\n
86.<\/td>\nMy phone<\/a><\/td>\n79<\/td>\n-33<\/td>\n<\/tr>\n
87.<\/td>\nStress<\/a><\/td>\n78<\/td>\n-14<\/td>\n<\/tr>\n
88.<\/td>\nEating live mice<\/a><\/td>\n77<\/td>\n <\/td>\n<\/tr>\n
88.<\/td>\nMy attitude<\/a><\/td>\n77<\/td>\n-10<\/td>\n<\/tr>\n
88.<\/td>\nCaring<\/a><\/td>\n77<\/td>\n-24<\/td>\n<\/tr>\n
88.<\/td>\nHer favourite treat<\/a><\/td>\n77<\/td>\n <\/td>\n<\/tr>\n
89.<\/td>\nAbbreviations<\/a><\/td>\n75<\/td>\n+41<\/td>\n<\/tr>\n
90.<\/td>\nPolitics<\/a><\/td>\n74<\/td>\n+3<\/td>\n<\/tr>\n
90.<\/td>\nSweet tea<\/a><\/td>\n74<\/td>\n-2<\/td>\n<\/tr>\n
91.<\/td>\nPotatoes<\/a><\/td>\n72<\/td>\n0<\/td>\n<\/tr>\n
91.<\/td>\nClasses<\/a><\/td>\n72<\/td>\n+10<\/td>\n<\/tr>\n
92.<\/td>\nBoba<\/a><\/td>\n70<\/td>\n+10<\/td>\n<\/tr>\n
93.<\/td>\nChristianity<\/a><\/td>\n69<\/td>\n-13<\/td>\n<\/tr>\n
94.<\/td>\nTV<\/a><\/td>\n65<\/td>\n-11<\/td>\n<\/tr>\n
94.<\/td>\nSarcasm<\/a><\/td>\n65<\/td>\n-20<\/td>\n<\/tr>\n
95.<\/td>\nTaco Bell<\/a><\/td>\n63<\/td>\n-20<\/td>\n<\/tr>\n
95.<\/td>\nDonuts<\/a><\/td>\n63<\/td>\n+6<\/td>\n<\/tr>\n
96.<\/td>\nOxygen<\/a><\/td>\n62<\/td>\n+18<\/td>\n<\/tr>\n
96.<\/td>\nPorn<\/a><\/td>\n62<\/td>\n-24<\/td>\n<\/tr>\n
97.<\/td>\nStudying<\/a><\/td>\n60<\/td>\n-9<\/td>\n<\/tr>\n
97.<\/td>\nMy boyfriend<\/a><\/td>\n60<\/td>\n+3<\/td>\n<\/tr>\n
97.<\/td>\nThe gym<\/a><\/td>\n60<\/td>\n+8<\/td>\n<\/tr>\n
97.<\/td>\nDiet coke<\/a><\/td>\n60<\/td>\n-30<\/td>\n<\/tr>\n
98.<\/td>\nEverything<\/a><\/td>\n59<\/td>\n-11<\/td>\n<\/tr>\n
98.<\/td>\nAnxiety<\/a><\/td>\n59<\/td>\n+13<\/td>\n<\/tr>\n
99.<\/td>\nNew Year’s resolutions<\/a><\/td>\n58<\/td>\n-20<\/td>\n<\/tr>\n
100.<\/td>\nChipotle<\/a><\/td>\n57<\/td>\n-31<\/td>\n<\/tr>\n
100.<\/td>\nPork<\/a><\/td>\n57<\/td>\n-16<\/td>\n<\/tr>\n<\/table>\n

Fast Food<\/h3>\n

Chipotle now lands behind even Taco Bell.<\/p>\n

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

Snack Food<\/h3>\n

Hot Cheetos continue their snack-food dominance.<\/p>\n

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

Adulting<\/h3>\n

It’s a verb now. Or at least a gerund.<\/p>\n

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

Emojis<\/h3>\n

Just over 14,000 tweets (19%) included an emoji this year. I haven’t tracked emoji usage before, so I can’t say how that compares to previous years.<\/p>\n

Here are the top five emojis used this year, along with the most-popular items given up:<\/p>\n\n\n\n\n\n\n\n
Emoji<\/th>\nTweets<\/th>\nMost-popular Given Up<\/th>\n<\/tr>\n
😂<\/td>\n2,428<\/td>\nchocolate, alcohol, twitter<\/td>\n<\/tr>\n
😭<\/td>\n1,154<\/td>\nchocolate, sweets, fast food<\/td>\n<\/tr>\n
😩<\/td>\n889<\/td>\nchocolate, sweets, fast food<\/td>\n<\/tr>\n
🙃<\/td>\n875<\/td>\nchocolate, coffee, fast food<\/td>\n<\/tr>\n
🙄<\/td>\n640<\/td>\nchocolate, alcohol, social media<\/td>\n<\/tr>\n<\/table>\n

Conversely, here are the most-popular things given up with tweets that include emojis:<\/p>\n\n\n\n\n\n\n\n
Given up<\/th>\nTweets<\/th>\nMost-popular Emojis*<\/th>\n<\/tr>\n
chocolate<\/td>\n793<\/td>\n🍫 🙈 😫<\/td>\n<\/tr>\n
social media<\/td>\n549<\/td>\n\u270c 👋 🙏<\/td>\n<\/tr>\n
alcohol<\/td>\n537<\/td>\n😅 \u2640 😬<\/td>\n<\/tr>\n
twitter<\/td>\n482<\/td>\n\u270c 👋 🙏<\/td>\n<\/tr>\n
sweets<\/td>\n355<\/td>\n😅 🍬 🍫<\/td>\n<\/tr>\n<\/table>\n

* Excluding the top-ten emojis for the year.<\/p>\n

Retweets<\/h3>\n

The rest of this data excludes retweets, but here are the three tweets mentioning Lent that drew the most retweets. I feel that this list encapsulates Twitter; not many other top-three lists would include college humor, the pope, and Rick “Never Gonna Give You Up” Astley.<\/p>\n