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Dynamics of Media Attention

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Presentation at ICCSA14, Le Havre, June 24, 2014

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Page 1: Dynamics of Media Attention

Dynamics of Media Attention

V.A. Traag, R. Reinanda, J. Hicks, G. Van Klinken

KITLV, Leiden, the Netherlandse-Humanities, KNAW, Amsterdam, the Netherlands

June 24, 2014

eRoyal Netherlands Academy of Arts and SciencesHumanities

Page 2: Dynamics of Media Attention

Background

Research focus

• Study elite (network) behaviour.

• Particular focus on regime changes.I Case I: Indonesia, fall of Suharto 1998.I Case II: Indonesian independence after WWII.

• Data: newspaper articles. How can we use them?

Data

• Current corpus: Joyo/Indonesian News Service, 2004–2012.

• Contains about 140 263 articles.

Page 3: Dynamics of Media Attention

Network

Building the network

1 Detect names automatically .I “ Budhisantoso would ask Kalla to team up with Yudhoyono .”

2 Disambiguate names.I Susilo Bambang Yudhoyono or Dr. Yudhoyono , etc. . .

3 Co-occurrence in sentence (record date).I “ Budhisantoso would ask Kalla to team up with Yudhoyono .”

K

B Y

19-04-2004

19-04-2004

19-04-2004

Page 4: Dynamics of Media Attention

Network

Building the network

1 Detect names automatically .I “ Budhisantoso would ask Kalla to team up with Yudhoyono .”

2 Disambiguate names.I Susilo Bambang Yudhoyono or Dr. Yudhoyono , etc. . .

3 Co-occurrence in sentence (record date).I “ Budhisantoso would ask Kalla to team up with Yudhoyono .”

K

B Y

19-04-2004

19-04-2004

19-04-2004

Page 5: Dynamics of Media Attention

Network

Building the network

1 Detect names automatically .I “ Budhisantoso would ask Kalla to team up with Yudhoyono .”

2 Disambiguate names.I Susilo Bambang Yudhoyono or Dr. Yudhoyono , etc. . .

3 Co-occurrence in sentence (record date).I “ Budhisantoso would ask Kalla to team up with Yudhoyono .”

K

B Y

19-04-2004

19-04-2004

19-04-2004

Page 6: Dynamics of Media Attention

Network

Building the network

1 Detect names automatically .I “ Budhisantoso would ask Kalla to team up with Yudhoyono .”

2 Disambiguate names.I Susilo Bambang Yudhoyono or Dr. Yudhoyono , etc. . .

3 Co-occurrence in sentence (record date).I “ Budhisantoso would ask Kalla to team up with Yudhoyono .”

K

B Y

19-04-2004

19-04-2004

19-04-2004

Page 7: Dynamics of Media Attention

Media dynamics

Dynamical characteristics

• How does attention grow, decay?

• How long do people stay in the news?

• How often do new people enter the news?

• Are there bursty patterns of attention?

Comparison

• Look at particular events.

• Are dynamics any different?

• Does attention grow or decay more quickly?

• Do people drop from the news sooner than expected?

Page 8: Dynamics of Media Attention

Media dynamics

Dynamical characteristics

• How does attention grow, decay?

• How long do people stay in the news?

• How often do new people enter the news?

• Are there bursty patterns of attention?

Comparison

• Look at particular events.

• Are dynamics any different?

• Does attention grow or decay more quickly?

• Do people drop from the news sooner than expected?

Page 9: Dynamics of Media Attention

Weekly cycles

2004 2005 2006 2007 2008 2009 2010 2011 2012Date

050

100150200250300

Frequency

0 5 10 15 20 25 30 35 40Lag (days)

0.0

0.2

0.4

0.6

0.8

1.0

Auto

corr

ela

tion

0.0 0.1 0.2 0.3 0.4 0.5Frequency (days−1 )

0

10000

20000

30000

40000

50000

Magnit

ude

Neighbours’ timeseries correlate: underlying commonality.

Page 10: Dynamics of Media Attention

Growth/decay attention

-104 -103 -102 -101 0 101 102 103 104

Time relative to peak (days)

10-5

10-4

10-3

10-2

10-1A

ttenti

on

α−βlog|t|

α|t|−β

αe−β|t|

αe−β|t| |t|−γ

Best fit e−βtt−γ .

Page 11: Dynamics of Media Attention

Inter-event time

0 500 1000 1500 2000 2500 3000Inter-event time (Days)

10-7

10-6

10-5

10-4

10-3

10-2

10-1

100Pro

babili

tyEdgesNodes

Powerlaw with exponential cut-off x−βe−γx .

Page 12: Dynamics of Media Attention

Lifetime

0 500 1000 1500 2000 2500 3000Lifetime (days)

10-3

10-2

10-1

100Pro

babili

tyEdgesNodes

Very long lifetime for nodes.

Page 13: Dynamics of Media Attention

New nodes

1500 1000 500 0 500 1000 1500 2000 2500 3000First Time Delay (days)

0.00

0.01

0.02

0.03

0.04

0.05

0.06Pro

babili

tyEdgesNodes

New nodes (and edges) continuously appear in the media.

Page 14: Dynamics of Media Attention

Conclusion

Timescales

Measure Short time Long time

Peak growth/decay power law PoissonInter-event power law PoissonLifetime fast (very) slowNew nodes/edges appear continuously

Theory

• Issues arise at a constant rate (Poisson process)

• Within issues, faster dynamics, shorter lifetimes

Page 15: Dynamics of Media Attention

Conclusion

Questions?