Traditional or social media: which capture employment better?
Political discourse has the ability to spread either uncertainty or calm among the population. Economic upheavals of considerable magnitude can also spread ambiguity. Both newspaper articles and Twitter posts reflect important events that have the potential to increase or decrease uncertainty from a...
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| Format: | Article |
| Language: | English |
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Institute of Public Finance
2024-01-01
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| Series: | Public Sector Economics |
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| Online Access: | https://hrcak.srce.hr/file/467644 |
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| _version_ | 1850062377577349120 |
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| author | Marija Hruška Mirjana Čižmešija |
| author_facet | Marija Hruška Mirjana Čižmešija |
| author_sort | Marija Hruška |
| collection | DOAJ |
| description | Political discourse has the ability to spread either uncertainty or calm among the population. Economic upheavals of considerable magnitude can also spread ambiguity. Both newspaper articles and Twitter posts reflect important events that have the potential to increase or decrease uncertainty from a citizen’s perspective. We employ two measures of media uncertainty, one reflecting the uncertainty perceived by journalists and the other characterizing the uncertainty associated with Twitter users. More specifically, we use the Twitter Economic Uncertainty and the Economic Policy Uncertainty Index. To investigate which uncertainty source better captures employment variations, we apply a regression decision tree and linear regression. Our results speak in favour of the more traditional media uncertainty source. Linear regression outperforms the decision tree in both models. Namely, we find a statistically significant negative relationship between both uncertainty measures and employment, while controlling for other macroeconomic aspects. |
| format | Article |
| id | doaj-art-6aaee51a66f14bfbb72a4138a0acfa93 |
| institution | DOAJ |
| issn | 2459-8860 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Institute of Public Finance |
| record_format | Article |
| series | Public Sector Economics |
| spelling | doaj-art-6aaee51a66f14bfbb72a4138a0acfa932025-08-20T02:49:56ZengInstitute of Public FinancePublic Sector Economics2459-88602024-01-0148439941910.3326/pse.48.4.2Traditional or social media: which capture employment better?Marija Hruška0Mirjana Čižmešija1University of Zagreb, Faculty of Economics and Business, Department of Statistics, Zagreb, CroatiaUniversity of Zagreb, Faculty of Economics and Business, Department of Statistics, Zagreb, CroatiaPolitical discourse has the ability to spread either uncertainty or calm among the population. Economic upheavals of considerable magnitude can also spread ambiguity. Both newspaper articles and Twitter posts reflect important events that have the potential to increase or decrease uncertainty from a citizen’s perspective. We employ two measures of media uncertainty, one reflecting the uncertainty perceived by journalists and the other characterizing the uncertainty associated with Twitter users. More specifically, we use the Twitter Economic Uncertainty and the Economic Policy Uncertainty Index. To investigate which uncertainty source better captures employment variations, we apply a regression decision tree and linear regression. Our results speak in favour of the more traditional media uncertainty source. Linear regression outperforms the decision tree in both models. Namely, we find a statistically significant negative relationship between both uncertainty measures and employment, while controlling for other macroeconomic aspects.https://hrcak.srce.hr/file/467644economic policy uncertaintyemployment,machine learningdecision treetwitter economic uncertainty |
| spellingShingle | Marija Hruška Mirjana Čižmešija Traditional or social media: which capture employment better? Public Sector Economics economic policy uncertainty employment ,machine learning decision tree twitter economic uncertainty |
| title | Traditional or social media: which capture employment better? |
| title_full | Traditional or social media: which capture employment better? |
| title_fullStr | Traditional or social media: which capture employment better? |
| title_full_unstemmed | Traditional or social media: which capture employment better? |
| title_short | Traditional or social media: which capture employment better? |
| title_sort | traditional or social media which capture employment better |
| topic | economic policy uncertainty employment ,machine learning decision tree twitter economic uncertainty |
| url | https://hrcak.srce.hr/file/467644 |
| work_keys_str_mv | AT marijahruska traditionalorsocialmediawhichcaptureemploymentbetter AT mirjanacizmesija traditionalorsocialmediawhichcaptureemploymentbetter |